https://github.com/usaywook/gin
공식 코드GIN: Graph-based Interaction-aware Constraint Policy Optimization for Autonomous Driving
Papers with Code 아카이브
Action Localization
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Action Localization is finding the spatial and temporal co ordinates for an action in a video. An action localization model will identify which frame an action start and ends in video and return the x,y coordinates of an action. Further the co ordinates will change when the object performing action undergoes a displacement.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/v-iashin/BMT
공식 코드A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer
https://github.com/v0lta/Complex-gated-recurrent-neural-networks
공식 코드https://github.com/vaidehi99/infodeletionattacks
공식 코드Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
https://github.com/valeoai/mf_awta
공식 코드https://github.com/vhvkhoa/TAPG-AgentEnvNetwork
공식 코드ABN: Agent-Aware Boundary Networks for Temporal Action Proposal Generation
https://github.com/vhvkhoa/tapg-agentenvinteration
공식 코드AEI: Actors-Environment Interaction with Adaptive Attention for Temporal Action Proposals Generation
https://github.com/vicky-wil/remake
공식 코드https://github.com/vietngth/ph-ensemble-gnn
공식 코드Persistent Homology-induced Graph Ensembles for Time Series Regressions
https://github.com/villawang/team-net
공식 코드TEAM-Net: Multi-modal Learning for Video Action Recognition with Partial Decoding
https://github.com/vishal3477/proactive_imd
공식 코드https://github.com/vita-epfl/hybrid-feature-fusion
공식 코드Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
https://github.com/vita-epfl/multi-transmotion
공식 코드Multi-Transmotion: Pre-trained Model for Human Motion Prediction
https://github.com/vita-epfl/pedestrian-transition-dataset
공식 코드Pedestrian Stop and Go Forecasting with Hybrid Feature Fusion
https://github.com/vita-epfl/tarot
공식 코드https://github.com/vividle/backtal
공식 코드Background-Click Supervision for Temporal Action Localization
https://github.com/vividle/online-action-detection
공식 코드Structured Attention Composition for Temporal Action Localization
https://github.com/vividle/structured-attention-composition
공식 코드Structured Attention Composition for Temporal Action Localization
https://github.com/vkalogeiton/caffe
공식 코드Action Tubelet Detector for Spatio-Temporal Action Localization
https://github.com/vlkeb/vlkeb
공식 코드VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
https://github.com/void-96/har_tencon2022
공식 코드Handwashing Action Detection System for an Autonomous Social Robot
https://github.com/vturrisi/udavt
공식 코드Unsupervised Domain Adaptation for Video Transformers in Action Recognition
https://github.com/vvhj/tsgcnext
공식 코드https://github.com/walzimmer/3d-bat
공식 코드https://github.com/wang-chen/LGL
공식 코드https://github.com/wang-chen/lgl-action-recognition
공식 코드https://github.com/wangbing1416/hami-m3d
공식 코드Harmfully Manipulated Images Matter in Multimodal Misinformation Detection
https://github.com/wanglimin/ARTNet
공식 코드https://github.com/wanglimin/UntrimmedNet
공식 코드UntrimmedNets for Weakly Supervised Action Recognition and Detection
https://github.com/wangxiang1230/SSTAP
공식 코드Self-Supervised Learning for Semi-Supervised Temporal Action Proposal
https://github.com/wangyu-ustc/largescalewashing
공식 코드https://github.com/wangyu-ustc/memoryllm
공식 코드https://github.com/wangywust/deepedit
공식 코드https://github.com/wanliyoung/collapse-in-model-editing
공식 코드The Butterfly Effect of Model Editing: Few Edits Can Trigger Large Language Models Collapse
https://github.com/wanliyoung/revisit-editing-evaluation
공식 코드The Mirage of Model Editing: Revisiting Evaluation in the Wild
https://github.com/watonomous/action-classification
공식 코드RALACs: Action Recognition in Autonomous Vehicles using Interaction Encoding and Optical Flow
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.