https://github.com/hnuzhy/directmhp
공식 코드DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles
Papers with Code 아카이브
2D Object Detection
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
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
https://github.com/hoangcongduc/ensolver
공식 코드EnSolver: Uncertainty-Aware Ensemble CAPTCHA Solvers with Theoretical Guarantees
https://github.com/hoenigpeter/randomized_texturing
공식 코드https://github.com/hoiliu-0801/dntr
공식 코드A DeNoising FPN With Transformer R-CNN for Tiny Object Detection
https://github.com/hoiliu-0801/dq-detr
공식 코드https://github.com/hoiliu-0801/monotakd
공식 코드MonoTAKD: Teaching Assistant Knowledge Distillation for Monocular 3D Object Detection
https://github.com/hollow-503/unim2ae
공식 코드https://github.com/holms-ur/fine-tuning
공식 코드The Benefits of Close-Domain Fine-Tuning for Table Detection in Document Images
https://github.com/hologerry/SoCo
공식 코드Aligning Pretraining for Detection via Object-Level Contrastive Learning
https://github.com/holzbock/dfbf
공식 코드https://github.com/homles11/IGCV3
공식 코드IGCV3: Interleaved Low-Rank Group Convolutions for Efficient Deep Neural Networks
https://github.com/hon-wong/ptseformer
공식 코드PTSEFormer: Progressive Temporal-Spatial Enhanced TransFormer Towards Video Object Detection
https://github.com/hosang/detection-proposals
공식 코드https://github.com/hou-yz/MVDet
공식 코드https://github.com/hou-yz/mvdetr
공식 코드Multiview Detection with Shadow Transformer (and View-Coherent Data Augmentation)
https://github.com/hqjenny/CoDeNet
공식 코드CoDeNet: Efficient Deployment of Input-Adaptive Object Detection on Embedded FPGAs
https://github.com/hrlblab/CircleNet
공식 코드https://github.com/hrlblab/open-eoe
공식 코드https://github.com/hrlblab/weightedcirclefusion
공식 코드Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results
https://github.com/hsiangwei0903/Deep-EIoU
공식 코드Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports
https://github.com/hsiangwei0903/SportsMOT
공식 코드Observation Centric and Central Distance Recovery on Sports Player Tracking
https://github.com/hsouri/battle-of-the-backbones
공식 코드Battle of the Backbones: A Large-Scale Comparison of Pretrained Models across Computer Vision Tasks
https://github.com/hszhao/ICNet
공식 코드ICNet for Real-Time Semantic Segmentation on High-Resolution Images
https://github.com/hszhao/PSPNet
공식 코드https://github.com/htdt/self-supervised
공식 코드https://github.com/htqin/awesome-model-quantization
공식 코드https://github.com/httle/ars-detr
공식 코드ARS-DETR: Aspect Ratio-Sensitive Detection Transformer for Aerial Oriented Object Detection
https://github.com/hu64/RN-VID
공식 코드https://github.com/hu64/SpotNet
공식 코드SpotNet: Self-Attention Multi-Task Network for Object Detection
https://github.com/hu64/ffavod
공식 코드FFAVOD: Feature Fusion Architecture for Video Object Detection
https://github.com/huaaaliu/rgbx_semantic_segmentation
공식 코드CMX: Cross-Modal Fusion for RGB-X Semantic Segmentation with Transformers
https://github.com/huage001/painttransformer
공식 코드Paint Transformer: Feed Forward Neural Painting with Stroke Prediction
https://github.com/huangleiBuaa/IterNorm
공식 코드Iterative Normalization: Beyond Standardization towards Efficient Whitening
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.