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Replace the cat with a British Shorthair cat of the breed with bulging yellow eyes
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/hehao13/EBLNet
공식 코드Enhanced Boundary Learning for Glass-like Object Segmentation
https://github.com/hehaodong530/dota-c
공식 코드On the Robustness of Object Detection Models on Aerial Images
https://github.com/heitorcfelix/singleshot6Dpose
공식 코드Squeezed Deep 6DoF Object Detection Using Knowledge Distillation
https://github.com/helhafyani/multimodal_fusion
공식 코드Multimodal Object Detection via Probabilistic a priori Information Integration
https://github.com/helicopt/framot
공식 코드https://github.com/hellock/documentary-learning
공식 코드https://github.com/heng-hw/spacap3d
공식 코드Spatiality-guided Transformer for 3D Dense Captioning on Point Clouds
https://github.com/henghuiding/MOSE-api
공식 코드MOSE: A New Dataset for Video Object Segmentation in Complex Scenes
https://github.com/henghuiding/MeViS
공식 코드MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions
https://github.com/henglan/cgstvg
공식 코드https://github.com/henglan/vasttrack
공식 코드https://github.com/hengliusky/few_shot_rvos
공식 코드https://github.com/henrylee2570/NoisyAnchor
공식 코드https://github.com/heshitian/plug
공식 코드Learning Remote Sensing Object Detection with Single Point Supervision
https://github.com/heshuting555/TransReID
공식 코드https://github.com/hexiao-cs/s2adet
공식 코드Object Detection in Hyperspectral Image via Unified Spectral-Spatial Feature Aggregation
https://github.com/hht1996ok/ea-bev
공식 코드EA-LSS: Edge-aware Lift-splat-shot Framework for 3D BEV Object Detection
https://github.com/hiddenmaze/InteractivePickup
공식 코드Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration
https://github.com/hik-lab/ssod
공식 코드https://github.com/hikvision-research/SSOD
공식 코드https://github.com/hikvision-research/davar-lab-ml
공식 코드https://github.com/hikvision-research/probabilisticteacher
공식 코드Learning Domain Adaptive Object Detection with Probabilistic Teacher
https://github.com/hkashyap/SparseMotion
공식 코드Sparse Representations for Object and Ego-motion Estimation in Dynamic Scenes
https://github.com/hkchengrex/Cutie
공식 코드https://github.com/hkust-nisl/oat_eccv24
공식 코드OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction
https://github.com/hkust-vgd/pointwise
공식 코드https://github.com/hkust-vgd/rfnet-4d
공식 코드https://github.com/hkust-vgd/scanobjectnn
공식 코드https://github.com/hkxiao/zs-cosod
공식 코드https://github.com/hlesmqh/WS3D
공식 코드Weakly Supervised 3D Object Detection from Lidar Point Cloud
https://github.com/hli2020/feature_intertwiner
공식 코드https://github.com/hlsheng1/ct3d
공식 코드https://github.com/hlsheng1/rdiou
공식 코드Rethinking IoU-based Optimization for Single-stage 3D Object Detection
https://github.com/hmph/dynamically-instantiated-network
공식 코드Pixelwise Instance Segmentation with a Dynamically Instantiated Network
https://github.com/hnyu/vonet
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.