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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/reglab/land-application-detection
공식 코드https://github.com/remaro-network/kd-yolox-vit
공식 코드Knowledge Distillation in YOLOX-ViT for Side-Scan Sonar Object Detection
https://github.com/remaro-network/rosar-framework
공식 코드ROSAR: An Adversarial Re-Training Framework for Robust Side-Scan Sonar Object Detection
https://github.com/renjithk4/assemai
공식 코드AssemAI: Interpretable Image-Based Anomaly Detection for Manufacturing Pipelines
https://github.com/renll/RSAM
공식 코드Recurrent Soft Attention Model for Common Object Recognition
https://github.com/renmengye/imageqa-public
공식 코드https://github.com/renshuhuai-andy/timechat
공식 코드TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding
https://github.com/renyulin-f/mambacsr
공식 코드MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMs
https://github.com/researchmm/TTSR
공식 코드Learning Texture Transformer Network for Image Super-Resolution
https://github.com/retkowsky/florence-2
공식 코드Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks
https://github.com/revisitq/Pseudo-Stereo-3D
공식 코드Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving
https://github.com/rexzhan/essaformer
공식 코드ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution
https://github.com/rezafuru/the-fool
공식 코드FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression
https://github.com/rfonod/geo-trax
공식 코드Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery
https://github.com/rgeirhos/Stylized-ImageNet
공식 코드https://github.com/rhgao/on-demand-learning
공식 코드https://github.com/riaduli/thresholded_event_vision_face_dataset
공식 코드Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-Vision
https://github.com/riblidezso/frcnn_cad
공식 코드Detecting and classifying lesions in mammograms with Deep Learning
https://github.com/ricardooyoung/versatileteacher
공식 코드Versatile Teacher: A Class-aware Teacher-student Framework for Cross-domain Adaptation
https://github.com/riced2klab/audubon_f21
공식 코드Deep object detection for waterbird monitoring using aerial imagery
https://github.com/richardmarcus/synth-it-like-kitti
공식 코드Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving Scenarios
https://github.com/rimchang/Rsblur
공식 코드https://github.com/rishabbala/contrastive_learning_for_object_detection
공식 코드https://github.com/rishavbb/owslr
공식 코드OW-SLR: Overlapping Windows on Semi-Local Region for Image Super-Resolution
https://github.com/rishavpramanik/maskedmultiqueryslot
공식 코드Masked Multi-Query Slot Attention for Unsupervised Object Discovery
https://github.com/rishidarkdevil/daam-i2i
공식 코드https://github.com/risingentropy/lpfinisr
공식 코드Exploring the Low-Pass Filtering Behavior in Image Super-Resolution
https://github.com/rizavelioglu/fashionfail
공식 코드FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation
https://github.com/rmcong/CoADNet_NeurIPS20
공식 코드CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection
https://github.com/rmcong/DAFNet_TIP20
공식 코드Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
https://github.com/rmcong/EORSSD-dataset
공식 코드Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images
https://github.com/rmcong/Hybrid-Label-SOD_TCSVT2022
공식 코드A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
https://github.com/rmkemker/RIT-18
공식 코드Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning
https://github.com/rnjtsh/graphical-object-detector
공식 코드https://github.com/ro-ya-cv4africa/acvsurvey
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.