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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hikvision-research/probabilisticteacher
공식 코드Learning Domain Adaptive Object Detection with Probabilistic Teacher
https://github.com/hila-chefer/Transformer-MM-Explainability
공식 코드Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers
https://github.com/hirl-team/eurnet-image
공식 코드EurNet: Efficient Multi-Range Relational Modeling of Spatial Multi-Relational Data
https://github.com/hitachi-rd-cv/CDB-loss
공식 코드Class-Difficulty Based Methods for Long-Tailed Visual Recognition
https://github.com/hitsz-nrsl/de6d
공식 코드Det6D: A Ground-Aware Full-Pose 3D Object Detector for Improving Terrain Robustness
https://github.com/hiyouga/easyr1
공식 코드VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning
https://github.com/hkbu-hpml/easnet
공식 코드EASNet: Searching Elastic and Accurate Network Architecture for Stereo Matching
https://github.com/hku-tasr/anywheredoor
공식 코드AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection
https://github.com/hkunlp/chunkllama
공식 코드https://github.com/hkust-drive-ai-lab/follownet
공식 코드FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling
https://github.com/hkust-vgd/neural_scene_decoration
공식 코드https://github.com/hkxiao/zs-cosod
공식 코드https://github.com/hkzhang91/edgeformer
공식 코드ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer
https://github.com/hkzhang91/hinas
공식 코드Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration
https://github.com/hkzhang91/pacc-net
공식 코드ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer
https://github.com/hkzhang91/parc-net
공식 코드ParC-Net: Position Aware Circular Convolution with Merits from ConvNets and Transformer
https://github.com/hkzhang95/DynamicRCNN
공식 코드Dynamic R-CNN: Towards High Quality Object Detection via Dynamic Training
https://github.com/hlesmqh/WS3D
공식 코드Weakly Supervised 3D Object Detection from Lidar Point Cloud
https://github.com/hli2020/feature_intertwiner
공식 코드https://github.com/hli2020/lps_tip15
공식 코드Inner and Inter Label Propagation: Salient Object Detection in the Wild
https://github.com/hli2020/zoom_network
공식 코드Zoom Out-and-In Network with Map Attention Decision for Region Proposal and Object Detection
https://github.com/hlings/acrofod
공식 코드AcroFOD: An Adaptive Method for Cross-domain Few-shot Object Detection
https://github.com/hlsheng1/ct3d
공식 코드https://github.com/hlsheng1/ct3d-plusplus
공식 코드CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer
https://github.com/hlsheng1/rdiou
공식 코드Rethinking IoU-based Optimization for Single-stage 3D Object Detection
https://github.com/hlt-mt/fbk-fairseq
공식 코드FAMA: The First Large-Scale Open-Science Speech Foundation Model for English and Italian
https://github.com/hmarichal93/apd
공식 코드Automatic Wood Pith Detector: Local Orientation Estimation and Robust Accumulation
https://github.com/hmph/dynamically-instantiated-network
공식 코드Pixelwise Instance Segmentation with a Dynamically Instantiated Network
https://github.com/hms97/evd4uav
공식 코드EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV
https://github.com/hnu-vis/datacrafter
공식 코드Human-Guided Image Generation for Expanding Small-Scale Training Image Datasets
https://github.com/hnuzhy/bpjdet
공식 코드BPJDet: Extended Object Representation for Generic Body-Part Joint Detection
https://github.com/hnuzhy/directmhp
공식 코드DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
https://github.com/hnuzhy/fcos_pose
공식 코드https://github.com/hnuzhy/jointbdoe
공식 코드Joint Multi-Person Body Detection and Orientation Estimation via One Unified Embedding
https://github.com/hnuzhy/ssda-yolo
공식 코드SSDA-YOLO: Semi-supervised Domain Adaptive YOLO for Cross-Domain Object Detection
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