Hybrid ViT-CNN Model for Forgery Detection

Hi there, I am an ML engineer. I can start right away and deliver within the deadline. So, Let’s have a quick conversation. I can be more specific once we get all the requirements and information required to execute the project. Thank you!!

Proposal: Hybrid ViT-CNN Model for Copy-Move Forgery Detection I propose developing a hybrid Vision Transformer (ViT) and Convolutional Neural Network (CNN) model to detect copy-move forgery in images that have undergone various post-processing transformations, such as scaling, rotation, flipping, blurring, color adjustments, and noise additions. Approach: ViT (Vision Transformer): ViT will be used to capture global contextual information and long-range dependencies within the image using self-attention mechanisms. CNN (ResNet): A ResNet CNN will extract local features, detecting fine details like edges and textures. The CNN will help identify small-scale transformations such as noise or blurring. Feature Matching: After feature extraction, we will use feature matching techniques to identify copied regions and handle transformations such as rotation and scaling. Post-processing Detection: The model will be trained to recognize forgeries that have undergone transformations like flipping, blurring, and color adjustments. The model will be trained on publicly available datasets (e.g., Columbia, CASIA, CE-Forge) and evaluated using accuracy, precision, recall, F1-score, and AUC. The project will be completed in approximately 9 weeks. With expertise in machine learning and computer vision, I’m confident in delivering a robust, high-performance solution for forgery detection.

I'm interested in developing your Hybrid ViT-CNN model for forgery detection. With expertise in CNNs, Vision Transformers, and image processing, I can ensure high accuracy in detecting post-processing transformations. Let's discuss further!

HI there, As you can see from my profile, I have a strong background and experience in machine learning, specifically computer vision and image processing. My skills are aligned perfectly with your needs for this project- combining the Vision Transformer (ViT) with a Convolutional Neural Network (CNN) model, implementing self-attention mechanisms, and utilizing feature matching techniques. The key to successful image forgery detection lies in understanding and capturing global contextual information, an area where my expertise in CNNs and Vision Transformers will shine through. Building upon this crucial combination of skills, I can also implement the identification of post-processing transformations such as scaling, rotation, flipping, blurring, color adjustments, et cetera, ensuring comprehensive forgery detection. Rest assured that if chosen for this project, I'll deliver professional-quality work within the proposed timeframe. I am skilled at translating client requirements into effective solutions while maintaining a high degree of originality. Regards

Hi, and thanks for considering my proposal. I'm a professional electrical engineer working and lecturer in a reputed university. I have 10+ years of experience completing freelance projects in electrical engineering, machine learning, and technical writing. I am skilled in several professional tools like: ⌂ PCB Design using KiCAD, EasyCAD, PSpice, LTspice, Proteus, Arduino programming ⌂ MATLAB, R Programming, Python, Excel, SPSS Statistics ⌂ Digital Design & Simulation – Verilog HDL ⌂ Professional academic writing using MS Office, LaTeX I have read the project description. Looking at the details, I can assure you that I can accomplish this job. I can explain the step-by-step process I would follow to complete the job in chat. Please give me the chance to serve you. Please share the exact details and let me tell you how I can accomplish the job. Please note that the BUDGET and TIMINGS are NEGOTIABLE. So, contact me now. Regards Ghulam Shabbir

As an experienced machine learning professional with a dedicated focus on computer vision and image processing, I believe I can offer you a tailored solution for your project. My adeptness in combining different models for feature extraction like the Vision Transformer (ViT) and Convolutional Neural Network (CNN) as well as my understanding of implementing self-attention mechanisms to capture global contextual information make me an ideal candidate for this task. Moreover, my past experiences in developing image forgery detection systems alongside proficiency at using publicly available datasets further solidify my abilities relevant to your project. In addition to these hard skills, soft ones, like perseverance, punctuality, and problem-solving are essential for any project. Throughout my 8+ years in the field, I have demonstrated the consistent ability to exceed client expectations by

With a rich proficiency in Python for data science, I am confident that I am the ideal candidate to bring your vision for an innovatively effective hybrid ViT-CNN model to fruition. My understanding of both Vision Transformers and Convolutional Neural Networks aligns precisely with what you need for this project. I have successfully leveraged these techniques before, in conjunction with feature matching techniques, thereby enhancing the potential to detect copy-move forgery in diverse post-processed images. Moreover, my comprehensive knowledge of computer vision and image processing enables me to work proficiently within publicly available datasets. This not only ensures compliance but also fosters a scalable and efficient approach to tackling complex problems such as image forgery detection. I understand the significance of incorporating global contextual information into the model using self-attention mechanisms and I appreciate your emphasis on scaling, rotation, flipping, blurring, color adjustments, and noise additions. Collaborating with global clients in varied projects has sharpened my communication skills and taught me how crucial it is to deliver high-quality work on time. Additionally, I've previously created several AI-driven solutions which have honed my skills on how best to integrate different technologies towards a unified goal. Partner with me, and together we can create an advanced forgery detection solution that will meet all your expectations and more.

Greetings client, I can develop a Hybrid ViT-CNN model to detect copy-move forgery in images, handling various post-processing transformations. Key Features: ✅ Hybrid Model: ViT + ResNet for feature extraction ✅ Self-Attention Mechanisms: Capture global contextual details ✅ Forgery Detection: Identify transformations (scaling, rotation, flipping, blurring, noise, color adjustments) ✅ Feature Matching: Detect copied regions effectively With expertise in computer vision, deep learning, and image forgery detection, I ensure high accuracy using publicly available datasets. Let’s connect!

As a member of a skilled and versatile team, I have the perfect combination of expertise and creativity needed to deliver excellent results for your Hybrid ViT-CNN model for forgery detection project. While my main skills revolve around graphics design and web development, my passion for learning has led me to expand my knowledge into machine learning, particularly computer vision and image processing; an area where I've again proven myself to be top-notch. One of the things that set us apart is our ability to understand client requirements and deliver tailor-made solutions. I've obtained substantial experience with CNN and ViT models, including feature matching techniques - all essential components for this project. Additionally, I've worked with publicly available datasets like the one you plan on using here, ensuring a streamlined process from start to finish. To wrap it up, choosing me for this opportunity means investing in quality with an element of innovation. My promise is not only to complete your tasks efficiently but also to consistently deliver work that echoes my dedication, passion, and unwavering commitment to excellence. I look forward to bringing my unique blend of creative problem-solving and technical expertise to accomplish your goals.

As I am AI ML Student currently worked on various AI ML project First The Violence Detection System which Focus Detection of Action Using Kinetic 400 And Emotion Detection Using CNN Model Trained on 2000++ images

I am an assistant professor in a University and working on image processing. I will do it for you and to increase my knowledge also.