https://github.com/luiszeni/Boosted-OICR
공식 코드Distilling Knowledge from Refinement in Multiple Instance Detection Networks
Papers with Code 아카이브
2D Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/lukasc-ch/CBinfer
공식 코드https://github.com/lukazso/kpbms-pvdn
공식 코드https://github.com/luluho1208/diffusion-ss3d
공식 코드Diffusion-SS3D: Diffusion Model for Semi-supervised 3D Object Detection
https://github.com/luo-z13/pointobb
공식 코드PointOBB: Learning Oriented Object Detection via Single Point Supervision
https://github.com/luo3300612/image-captioning-DLCT
공식 코드https://github.com/luogen1996/oneteacher
공식 코드Towards End-to-end Semi-supervised Learning for One-stage Object Detection
https://github.com/luoyadan/crb-active-3ddet
공식 코드Exploring Active 3D Object Detection from a Generalization Perspective
https://github.com/luoyan407/gradient_adjustment
공식 코드https://github.com/luping-liu/detector-guidance
공식 코드https://github.com/lutao2021/pidray
공식 코드PIDray: A Large-scale X-ray Benchmark for Real-World Prohibited Item Detection
https://github.com/lutingwang/head
공식 코드HEAD: HEtero-Assists Distillation for Heterogeneous Object Detectors
https://github.com/lutingwang/oadp
공식 코드Object-Aware Distillation Pyramid for Open-Vocabulary Object Detection
https://github.com/luy0222/sirst-5k
공식 코드https://github.com/luyongxi/az-net
공식 코드Adaptive Object Detection Using Adjacency and Zoom Prediction
https://github.com/luyukang/DCTNet
공식 코드Depth-Cooperated Trimodal Network for Video Salient Object Detection
https://github.com/lwcver/legnet
공식 코드https://github.com/lwcver/lwganet
공식 코드LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks
https://github.com/lwpyh/ProMaC_code
공식 코드Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation
https://github.com/lxj-drifter/uiou_files
공식 코드https://github.com/lxtGH/GALD-Net
공식 코드Global Aggregation then Local Distribution in Fully Convolutional Networks
https://github.com/lxtGH/SFSegNets
공식 코드https://github.com/lxycopper/plu
공식 코드Proposal-Level Unsupervised Domain Adaptation for Open World Unbiased Detector
https://github.com/lyanna4869/InfRS
공식 코드InfRS: Incremental Few-Shot Object Detection in Remote Sensing Images
https://github.com/lyclyc52/nerf_rpn
공식 코드https://github.com/lyessaadsaoud/adod
공식 코드ADOD: Adaptive Domain-Aware Object Detection with Residual Attention for Underwater Environments
https://github.com/lyhdet/ov-3det
공식 코드Open-Vocabulary Point-Cloud Object Detection without 3D Annotation
https://github.com/lyu-yx/acumen
공식 코드https://github.com/lyumengyao/blad
공식 코드https://github.com/lyuwenyu/RT-DETR
공식 코드https://github.com/lywang3081/MRDC
공식 코드https://github.com/lz118/Multi-interactive-Dual-decoder
공식 코드Multi-interactive Dual-decoder for RGB-thermal Salient Object Detection
https://github.com/lz118/Multi-interactive-Siamese-Decoder
공식 코드Multi-interactive Dual-decoder for RGB-thermal Salient Object Detection
https://github.com/lz118/RGBT-Salient-Object-Detection
공식 코드RGBT Salient Object Detection: A Large-scale Dataset and Benchmark
https://github.com/lzccccc/SMOKE
공식 코드SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation
https://github.com/lzh420202/fcosr
공식 코드FCOSR: A Simple Anchor-free Rotated Detector for Aerial Object Detection
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.