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/ziplab/litv2
공식 코드https://github.com/ziplab/qtool
공식 코드https://github.com/ziwei89/fbod
공식 코드A Flying Bird Object Detection Method for Surveillance Video
https://github.com/ziweiwangthu/seernet
공식 코드Learning Accurate Performance Predictors for Ultrafast Automated Model Compression
https://github.com/ziyueqingwan/localglobalattention
공식 코드Local-Global Attention: An Adaptive Mechanism for Multi-Scale Feature Integration
https://github.com/ziyuey/uncertainty-aware-human-machine-collaboration-in-camouflaged-object-identification
공식 코드Uncertainty Aware Human-machine Collaboration in Camouflaged Object Detection
https://github.com/ziyujia/SalientSleepNet
공식 코드SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging
https://github.com/zjlab-ammi/ckim
공식 코드https://github.com/zjlab-ammi/demix
공식 코드https://github.com/zjsong/sacl
공식 코드Enhancing Sound Source Localization via False Negative Elimination
https://github.com/zju3dv/disprcnn
공식 코드Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
https://github.com/zjulearning/srdet
공식 코드Suppress-and-Refine Framework for End-to-End 3D Object Detection
https://github.com/zjw700/mus-cdb
공식 코드https://github.com/zjzwzw/ced-food
공식 코드Boosting Few-Shot Open-Set Object Detection via Prompt Learning and Robust Decision Boundary
https://github.com/zk2172-columbia/boundless
공식 코드Boundless: Generating Photorealistic Synthetic Data for Object Detection in Urban Streetscapes
https://github.com/zk2172-columbia/constellation-dataset
공식 코드Constellation Dataset: Benchmarking High-Altitude Object Detection for an Urban Intersection
https://github.com/zkkli/psaq-vit
공식 코드PSAQ-ViT V2: Towards Accurate and General Data-Free Quantization for Vision Transformers
https://github.com/zkytony/genmos_object_search
공식 코드https://github.com/zl1994/IoU-Uniform-R-CNN
공식 코드https://github.com/zlichen/vectorformer
공식 코드Learning High-resolution Vector Representation from Multi-Camera Images for 3D Object Detection
https://github.com/zllxot/core
공식 코드https://github.com/zongdai/autoshape
공식 코드AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection
https://github.com/zongwei97/popnet
공식 코드https://github.com/zongzi13545329/simada
공식 코드SU-SAM: A Simple Unified Framework for Adapting Segment Anything Model in Underperformed Scenes
https://github.com/zpdu/dai-net
공식 코드Boosting Object Detection with Zero-Shot Day-Night Domain Adaptation
https://github.com/zpywhu/pointobb-v3
공식 코드PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection
https://github.com/zq-zang/descreg
공식 코드Zero-Shot Aerial Object Detection with Visual Description Regularization
https://github.com/zqyq/Mahalanobis-Distance-based-Multi-view-Optimal-Transport-for-Multi-view-Crowd-Localization
공식 코드Mahalanobis Distance-based Multi-view Optimal Transport for Multi-view Crowd Localization
https://github.com/zqyq/Multi-view-People-Detection-in-Large-Scenes-via-View-wise-Contribution-Weighting
공식 코드Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting
https://github.com/zrrskywalker/monodetr
공식 코드MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection
https://github.com/zrrskywalker/point-m2ae
공식 코드Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
https://github.com/zrrskywalker/pointclip
공식 코드https://github.com/zshanggu/cdmm
공식 코드Cross-domain Multi-modal Few-shot Object Detection via Rich Text
https://github.com/zshanggu/htrpn
공식 코드Identification of Novel Classes for Improving Few-Shot Object Detection
https://github.com/zsniko/ednet
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.