https://github.com/canoe-z/petdet
공식 코드PETDet: Proposal Enhancement for Two-Stage Fine-Grained Object Detection
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/caopulan/Mask2Former-LT
공식 코드Frequency-based Matcher for Long-tailed Semantic Segmentation
https://github.com/captanlevi/Meaning-guided-video-captioning-
공식 코드https://github.com/cardio-ai/mvhota
공식 코드https://github.com/carlosh93/ColorMAE
공식 코드ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders
https://github.com/carranza96/waymo-detection-optimization
공식 코드https://github.com/carrell-ncl/windscreen2
공식 코드Identification of Driver Phone Usage Violations via State-of-the-Art Object Detection with Tracking
https://github.com/casia-iva-lab/fastsam
공식 코드https://github.com/casia-iva-lab/obj2seq
공식 코드Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks
https://github.com/casia-iva-lab/zbs
공식 코드https://github.com/cbhu523/saliency_last_way_finding
공식 코드A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding
https://github.com/cccorn/AP-loss
공식 코드https://github.com/cea-list/alpi
공식 코드ALPI: Auto-Labeller with Proxy Injection for 3D Object Detection using 2D Labels Only
https://github.com/cea-list/mt-detr
공식 코드Towards Few-Annotation Learning for Object Detection: Are Transformer-based Models More Efficient ?
https://github.com/cerebrasresearch/revbifpn
공식 코드RevBiFPN: The Fully Reversible Bidirectional Feature Pyramid Network
https://github.com/cfzd/FcaNet
공식 코드https://github.com/cfzd/monoground
공식 코드https://github.com/cgcl-codes/numbod
공식 코드NumbOD: A Spatial-Frequency Fusion Attack Against Object Detectors
https://github.com/ch-sa/labelCloud
공식 코드labelCloud: A Lightweight Domain-Independent Labeling Tool for 3D Object Detection in Point Clouds
https://github.com/chakkritte/eeea-net
공식 코드EEEA-Net: An Early Exit Evolutionary Neural Architecture Search
https://github.com/chanchanchan97/icafusion
공식 코드ICAFusion: Iterative Cross-Attention Guided Feature Fusion for Multispectral Object Detection
https://github.com/chandlerbing65nm/apdetection
공식 코드Improving the Detection of Small Oriented Objects in Aerial Images
https://github.com/changsn/STViT-R
공식 코드Making Vision Transformers Efficient from A Token Sparsification View
https://github.com/chanyn/HKRM
공식 코드Hybrid Knowledge Routed Modules for Large-scale Object Detection
https://github.com/chaoqichen/HTCN
공식 코드Harmonizing Transferability and Discriminability for Adapting Object Detectors
https://github.com/chaoxiao12/moving-object-detection-in-satellite-videos-hieum
공식 코드Highly Efficient and Unsupervised Framework for Moving Object Detection in Satellite Videos
https://github.com/charlesq34/frustum-pointnets
공식 코드https://github.com/chasel-tsui/mmdet-rfla
공식 코드RFLA: Gaussian Receptive Field based Label Assignment for Tiny Object Detection
https://github.com/chasel-tsui/mmrotate-dcfl
공식 코드Dynamic Coarse-to-Fine Learning for Oriented Tiny Object Detection
https://github.com/chaytonmin/occ-bev
공식 코드UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous Driving
https://github.com/chaytonmin/occupancy-mae
공식 코드https://github.com/chaytonmin/uniscene
공식 코드UniScene: Multi-Camera Unified Pre-training via 3D Scene Reconstruction for Autonomous Driving
https://github.com/chaytonmin/voxel-mae
공식 코드https://github.com/cheerss/CrossFormer
공식 코드CrossFormer: A Versatile Vision Transformer Hinging on Cross-scale Attention
https://github.com/cheind/pytorch-blender
공식 코드BlendTorch: A Real-Time, Adaptive Domain Randomization Library
https://github.com/cheliosoops/bitq
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.