https://github.com/Ymm-cll/UniErase
공식 코드UniErase: Unlearning Token as a Universal Erasure Primitive for Language Models
Papers with Code 아카이브
Temporal Action Localization
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 8
- 평가표
- 14
- 보존된 평가 기록
- 125
Temporal Action Localization aims to detect activities in the video stream and output beginning and end timestamps. It is closely related to Temporal Action Proposal Generation.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/YueWuHKUST/FutureVideoSynthesis
공식 코드https://github.com/ZheC/GTA-IM-Dataset
공식 코드https://github.com/ZheLi2020/TimestampActionSeg
공식 코드https://github.com/ZhenyueQin/Angular-Skeleton-Encoding
공식 코드Fusing Higher-order Features in Graph Neural Networks for Skeleton-based Action Recognition
https://github.com/ZhouYuxuanYX/Hypergraph-Transformer-for-Skeleton-based-Action-Recognition
공식 코드Hypergraph Transformer for Skeleton-based Action Recognition
https://github.com/Zhow01/S2RKE
공식 코드https://github.com/ZichenMiao/GNN-with-Low-rank-Learnable-Local-Filters
공식 코드https://github.com/ZichenMiao/L3Net
공식 코드https://github.com/ZiweiXU/CapsuleMotion
공식 코드Unsupervised Motion Representation Learning with Capsule Autoencoders
https://github.com/a-pru/emp
공식 코드https://github.com/a-rebmann/llms4pm
공식 코드Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks
https://github.com/aa-samad/conv_snn
공식 코드Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction
https://github.com/aaai-24/generative-based-kd
공식 코드Generative Model-based Feature Knowledge Distillation for Action Recognition
https://github.com/abcyzj/Semantics2Hands
공식 코드Semantics2Hands: Transferring Hand Motion Semantics between Avatars
https://github.com/abcyzj/meshret
공식 코드Skinned Motion Retargeting with Dense Geometric Interaction Perception
https://github.com/abduallahmohamed/FollowMe
공식 코드FollowMe: Vehicle Behaviour Prediction in Autonomous Vehicle Settings
https://github.com/abduallahmohamed/Social-STGCNN
공식 코드https://github.com/abduallahmohamed/skeleton-graph
공식 코드https://github.com/abduallahmohamed/social-implicit
공식 코드https://github.com/abhinanda-punnakkal/BABEL
공식 코드https://github.com/aboah1994/deepsegment
공식 코드https://github.com/aboulch/tec_prediction
공식 코드Ionospheric activity prediction using convolutional recurrent neural networks
https://github.com/acerkoo/disco
공식 코드Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge
https://github.com/adeboissiere/FUSION-human-action-recognition
공식 코드Infrared and 3D skeleton feature fusion for RGB-D action recognition
https://github.com/adityac94/Grad_CAM_plus_plus
공식 코드Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks
https://github.com/aengusl/latent-adversarial-training
공식 코드Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
https://github.com/afperezm/acoustic-images-distillation
공식 코드https://github.com/againerju/tcg_recognition
공식 코드https://github.com/ahmed-nady/multimodal-action-recognition
공식 코드EPAM-Net: An Efficient Pose-driven Attention-guided Multimodal Network for Video Action Recognition
https://github.com/ai-forever/sg-detr
공식 코드Saliency-Guided DETR for Moment Retrieval and Highlight Detection
https://github.com/ai4life-group/splice
공식 코드Interpreting CLIP with Sparse Linear Concept Embeddings (SpLiCE)
https://github.com/aikuniverse/tcte-net
공식 코드Temporal-Channel Topology Enhanced Network for Skeleton-Based Action Recognition
https://github.com/aimagelab/Consistency-based-Self-supervised-Learning-for-Temporal-Anomaly-Localization
공식 코드Consistency-based Self-supervised Learning for Temporal Anomaly Localization
https://github.com/aimagelab/STAGE_action_detection
공식 코드Video action detection by learning graph-based spatio-temporal interactions
https://github.com/aiotgroup/xrfv2
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.