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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/deepaknlp/medvidqacl
공식 코드A Dataset for Medical Instructional Video Classification and Question Answering
https://github.com/deepcs233/TIN
공식 코드https://github.com/deepextremes/txyxai
공식 코드https://github.com/deepglint/alip
공식 코드ALIP: Adaptive Language-Image Pre-training with Synthetic Caption
https://github.com/deepinmotion/autogcn
공식 코드AutoGCN -- Towards Generic Human Activity Recognition with Neural Architecture Search
https://github.com/deepintostreams/gcn-devlstm
공식 코드GCN-DevLSTM: Path Development for Skeleton-Based Action Recognition
https://github.com/deepmind/deepmind-research
공식 코드Unsupervised Learning of Object Keypoints for Perception and Control
https://github.com/deepmind/perception_test
공식 코드Perception Test: A Diagnostic Benchmark for Multimodal Video Models
https://github.com/deepsota/astfocus
공식 코드Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos
https://github.com/deepsportradar/camera-calibration-challenge
공식 코드DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations
https://github.com/deepsportradar/instance-segmentation-challenge
공식 코드DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations
https://github.com/deepsportradar/player-reidentification-challenge
공식 코드DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations
https://github.com/deeptag/cstm
공식 코드Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
https://github.com/degardinbruno/kinetic-gan
공식 코드Generative Adversarial Graph Convolutional Networks for Human Action Synthesis
https://github.com/delong-liu-bupt/ufo
공식 코드UFO: Enhancing Diffusion-Based Video Generation with a Uniform Frame Organizer
https://github.com/derekpowell/taxi
공식 코드TAXI: Evaluating Categorical Knowledge Editing for Language Models
https://github.com/desaixie/pa_vdm
공식 코드https://github.com/desehuileng0o0/ikem
공식 코드Elevating Skeleton-Based Action Recognition with Efficient Multi-Modality Self-Supervision
https://github.com/dexianghong/manet
공식 코드Multi-Attention Network for Compressed Video Referring Object Segmentation
https://github.com/dhg-wei/topa
공식 코드TOPA: Extending Large Language Models for Video Understanding via Text-Only Pre-Alignment
https://github.com/dibschat/tempAgg
공식 코드Temporal Aggregate Representations for Long-Range Video Understanding
https://github.com/diffusion-model-leiden/awesome-diffusion-models-for-tabular-data
공식 코드Diffusion Models for Tabular Data: Challenges, Current Progress, and Future Directions
https://github.com/dingfengshi/tridet
공식 코드TriDet: Temporal Action Detection with Relative Boundary Modeling
https://github.com/dingfengshi/tridetplus
공식 코드Temporal Action Localization with Enhanced Instant Discriminability
https://github.com/dingkeyan93/DISTS
공식 코드Image Quality Assessment: Unifying Structure and Texture Similarity
https://github.com/dingmyu/NCP
공식 코드Learning Versatile Neural Architectures by Propagating Network Codes
https://github.com/dingyanb/mtvcrafter
공식 코드MTVCrafter: 4D Motion Tokenization for Open-World Human Image Animation
https://github.com/divraz/TaskSegmentation
공식 코드Language-Conditioned Change-point Detection to Identify Sub-Tasks in Robotics Domains
https://github.com/divyakraman/ECCV2022_FARFourierAerialVideoRecognition
공식 코드https://github.com/dlr-rm/3dobjecttracking
공식 코드SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World
https://github.com/dlut-yyc/isomer
공식 코드Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation
https://github.com/dluvizon/deephar
공식 코드Multi-task Deep Learning for Real-Time 3D Human Pose Estimation and Action Recognition
https://github.com/dmlc/xgboost
공식 코드https://github.com/dmoltisanti/air-cvpr23
공식 코드Learning Action Changes by Measuring Verb-Adverb Textual Relationships
https://github.com/dmytrozabolotnii/autoware_mini
공식 코드Pedestrian motion prediction evaluation for urban autonomous driving
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