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Awesome Resources for Advanced Computer Vision Topics

computer-vision deep-learning awesome-list paper vision-project vision-and-language trajectory-prediction interpretability video-analysis pose-estimation

awesome-computer-vision's Introduction

Awesome-Computer-Vision Awesome

Highlighted Topics

[1] Conditional Content Generation: awesome-conditional-content-generation

Hot Topics

[1] Motion Prediction: awesome-3d-human-motion-prediction

[2] 3D-Human-Reconstruction: awesome-3d-human-reconstruction

[3] Virtual-Try-On: A Curated List of Awesome Virtual Try-on

[4] Talking Face: awesome_talking_face_generation

[5] Sketch Generation: Awesome-Sketch-Synthesis

[6] Diffusion: Awesome-Diffusion-Models

[7] NeRF: awesome-NeRF

[8] CLIP: Awesome-CLIP

Awesome Computer Vision

[1] Graph Neural Network: GNN, GNN, Graph Classification, Adversarial GNN, Deep GNN

[2] Video Analysis: Action Recognition, Temporal Action Detection, Temporal Action Localization

[3] Adversarial Attack: Adversarial Attack, Adversarial Learning, Robust ML, Graph Attack

[4] 3D Vision: Point Cloud, 3D Reconstruction

[5] AutoML: AutoML, Network Pruning, Network Compression, NAS

[6] Reinforcement Learning: RL, RL, Multiagent RL

[7] Transfer Learning: Transfer Learning, Zero Shot, Meta Learning

[8] GAN: GAN, GAN Applications

[9] Object Detection: Detection, Detection

[10] Object Tracking: Multiple Object Tracking, Tracking

[11] Pose Estimation: Human Pose Estimation, Hand Pose Estimation

[12] Segmentation: Semantic Segmentation

[13] Classification: Image Classification

[14] Vision-Language Navigation: Vision-Language Navigation, Self-Supervised Learning

[15] Super Resolution: Super Resolution

[16] Denoising: Image Denoising

[17] Anomaly Detection: Anomaly Detection

[18] Interpretability: Interpretability

[19] Trajectory Prediction: Trajectory-Prediction, Interaction Aware Trajectory Prediction

[20] OCR: image-text-localization-recognition, awesome-ocr

[21] Transformer is all you need: Awesome Visual-Transformer, BERT, Transformer-in-Vision

[22] MLP is all you need: awesome-mlp-papers

[23] Vision Language Pre-training: awesome-pretrained-chinese-nlp-models, awesome-vision-language-pretraining-papers, awesome-programming-language-pretraining-papers, PyContrast, contrastive_learning_codes

[24] Prompt: PromptPapers

[25] MIM: Masked Image Modeling

[21] Crowd Counting: Awesome-Crowd-Counting

[22] Video Analysis: Temporal Action Localization, Mulitple Object Tracking, Person ReID, Video Person ReID

[23] Visual Reasoning: Visual Reasoning

[24] Visual Grounding: Visual Grounding

[25] Video Inpainting: Awesome-Image-Inpainting

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