Papers with Code 아카이브
Object Detection
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/princeton-vl/CornerNet-Lite
공식 코드https://github.com/princeton-vl/infinigen
공식 코드https://github.com/princetonvisualai/imagenet-face-obfuscation
공식 코드https://github.com/prismformore/multi-task-transformer
공식 코드Joint 2D-3D Multi-Task Learning on Cityscapes-3D: 3D Detection, Segmentation, and Depth Estimation
https://github.com/prithv1/cvpr2017_counting
공식 코드https://github.com/prithv1/pasta
공식 코드PASTA: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization
https://github.com/project-monai/metricsreloaded
공식 코드Metrics reloaded: Recommendations for image analysis validation
https://github.com/proxymallick/OpenDet_CWA
공식 코드Wasserstein Distance-based Expansion of Low-Density Latent Regions for Unknown Class Detection
https://github.com/pschaldenbrand/ContentMaskedLoss
공식 코드Content Masked Loss: Human-Like Brush Stroke Planning in a Reinforcement Learning Painting Agent
https://github.com/pubgeo/monocular-geocentric-pose
공식 코드https://github.com/public-bots/gaussianpretrain
공식 코드https://github.com/public-bots/tigdistill-bev
공식 코드TiGDistill-BEV: Multi-view BEV 3D Object Detection via Target Inner-Geometry Learning Distillation
https://github.com/pufanqi23/monodgp
공식 코드MonoDGP: Monocular 3D Object Detection with Decoupled-Query and Geometry-Error Priors
https://github.com/pumpkinder/glip-cdfsod
공식 코드NTIRE 2025 Challenge on Cross-Domain Few-Shot Object Detection: Methods and Results
https://github.com/pupil-labs/pupil
공식 코드Pupil: An Open Source Platform for Pervasive Eye Tracking and Mobile Gaze-based Interaction
https://github.com/purduedigitaltwin/redformer
공식 코드https://github.com/putshua/inference-scale-ann-snn
공식 코드Inference-Scale Complexity in ANN-SNN Conversion for High-Performance and Low-Power Applications
https://github.com/pxiangwu/MotionNet
공식 코드https://github.com/pyun-ram/FL3D
공식 코드https://github.com/pzzhang/VinVL
공식 코드VinVL: Revisiting Visual Representations in Vision-Language Models
https://github.com/qalam001/attentiondeficit
공식 코드https://github.com/qcraftai/cross-modal-ssl
공식 코드Cross-Modal Self-Supervised Learning with Effective Contrastive Units for LiDAR Point Clouds
https://github.com/qcraftai/distill-bev
공식 코드DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation
https://github.com/qcraftai/pillarnext
공식 코드PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
https://github.com/qcraftai/simtrack
공식 코드Exploring Simple 3D Multi-Object Tracking for Autonomous Driving
https://github.com/qduOliver/MQP
공식 코드A Novel Video Salient Object Detection Method via Semi-supervised Motion Quality Perception
https://github.com/qhfan/CloFormer
공식 코드Rethinking Local Perception in Lightweight Vision Transformer
https://github.com/qhfan/RMT
공식 코드https://github.com/qianyu-dlut/mvanet
공식 코드Multi-view Aggregation Network for Dichotomous Image Segmentation
https://github.com/qianyuzqy/TransVOD_Lite
공식 코드TransVOD: End-to-End Video Object Detection with Spatial-Temporal Transformers
https://github.com/qigongsun/BMD
공식 코드Quantized Neural Networks via {-1, +1} Encoding Decomposition and Acceleration
https://github.com/qingshufan/GeneA-SLAM2
공식 코드https://github.com/qingyonghu/viso
공식 코드Detecting and Tracking Small and Dense Moving Objects in Satellite Videos: A Benchmark
https://github.com/qinhongda8/ldds
공식 코드Language-Driven Dual Style Mixing for Single-Domain Generalized Object Detection
https://github.com/qinzheng93/thundernet
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.