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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://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/ceciliavision/zoom-learn-zoom
공식 코드https://github.com/centreborelli/L1BSR
공식 코드https://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/chao-tan/TC-GAN
공식 코드Unsupervised Shadow Removal Using Target Consistency Generative Adversarial Network
https://github.com/chaofengc/Face-SPARNet
공식 코드https://github.com/chaofengc/femasr
공식 코드Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors
https://github.com/chaofengc/iter
공식 코드Iterative Token Evaluation and Refinement for Real-World Super-Resolution
https://github.com/chaofengc/quantexsr
공식 코드Real-World Blind Super-Resolution via Feature Matching with Implicit High-Resolution Priors
https://github.com/chaoma99/sr-metric
공식 코드Learning a No-Reference Quality Metric for Single-Image Super-Resolution
https://github.com/chaoqichen/HTCN
공식 코드Harmonizing Transferability and Discriminability for Adapting Object Detectors
https://github.com/chaos-sun/t3s2s
공식 코드T$^3$-S2S: Training-free Triplet Tuning for Sketch to Scene Generation
https://github.com/chaowentao/lfsrdiff
공식 코드LFSRDiff: Light Field Image Super-Resolution via Diffusion Models
https://github.com/chaowentao/maskblur
공식 코드MaskBlur: Spatial and Angular Data Augmentation for Light Field Image Super-Resolution
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
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.