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2D Classification

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/revisitq/Pseudo-Stereo-3D

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Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving

https://github.com/rezacsedu/BengFastText

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Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network

https://github.com/rezafuru/the-fool

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FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression

https://github.com/rezashkv/diffusion_pruning

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Efficient Fine-Tuning and Concept Suppression for Pruned Diffusion Models

https://github.com/rezazad68/tmunet

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Contextual Attention Network: Transformer Meets U-Net

https://github.com/rf5/simple-asgan

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GAN You Hear Me? Reclaiming Unconditional Speech Synthesis from Diffusion Models

https://github.com/rfonod/geo-trax

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Advanced computer vision for extracting georeferenced vehicle trajectories from drone imagery

https://github.com/rfww/spy-watermark

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Spy-Watermark: Robust Invisible Watermarking for Backdoor Attack

https://github.com/rgeirhos/Stylized-ImageNet

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ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness

https://github.com/rhgao/on-demand-learning

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On-Demand Learning for Deep Image Restoration

https://github.com/riaduli/thresholded_event_vision_face_dataset

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Descriptor: Face Detection Dataset for Programmable Threshold-Based Sparse-Vision

https://github.com/riblidezso/frcnn_cad

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Detecting and classifying lesions in mammograms with Deep Learning

https://github.com/ricardooyoung/versatileteacher

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Versatile Teacher: A Class-aware Teacher-student Framework for Cross-domain Adaptation

https://github.com/riccardomarin/InstantRecoveryFromSpectrum

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Instant recovery of shape from spectrum via latent space connections

https://github.com/riced2klab/audubon_f21

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Deep object detection for waterbird monitoring using aerial imagery

https://github.com/richardmarcus/synth-it-like-kitti

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Synth It Like KITTI: Synthetic Data Generation for Object Detection in Driving Scenarios

https://github.com/rikdz/AHLM

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Go Forth and Prosper: Language Modeling with Ancient Textual History

https://github.com/rikiyay/style-transfer-for-digital-pathology

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Learning domain-agnostic visual representation for computational pathology using medically-irrelevant style transfer augmentation

https://github.com/rimchang/Rsblur

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Realistic Blur Synthesis for Learning Image Deblurring

https://github.com/rishabbala/contrastive_learning_for_object_detection

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Contrastive Learning for OOD in Object detection

https://github.com/rishabhjoshi/inspect

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Unsupervised Keyphrase Extraction via Interpretable Neural Networks

https://github.com/rishabhmisra/Sarcasm-Detection-using-NN

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News Headlines Dataset For Sarcasm Detection

https://github.com/rishavpramanik/maskedmultiqueryslot

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Masked Multi-Query Slot Attention for Unsupervised Object Discovery

https://github.com/ristea/cycle-transformer

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CyTran: A Cycle-Consistent Transformer with Multi-Level Consistency for Non-Contrast to Contrast CT Translation

https://github.com/ritual-uh/da_ner

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Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition

https://github.com/ritwikmishra/munfquad

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Multilingual Non-Factoid Question Answering with Answer Paragraph Selection

https://github.com/rizavelioglu/fashionfail

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FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation

https://github.com/rmcong/CoADNet_NeurIPS20

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CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection

https://github.com/rmcong/DAFNet_TIP20

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Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

https://github.com/rmcong/EORSSD-dataset

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Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Images

https://github.com/rmcong/Hybrid-Label-SOD_TCSVT2022

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A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels

https://github.com/rmkemker/RIT-18

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Algorithms for Semantic Segmentation of Multispectral Remote Sensing Imagery using Deep Learning

https://github.com/rnjtsh/graphical-object-detector

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Graphical Object Detection in Document Images

https://github.com/ro-ya-cv4africa/acvsurvey

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The State of Computer Vision Research in Africa

https://github.com/roamify-research/roamify

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Roamify: Designing and Evaluating an LLM Based Google Chrome Extension for Personalised Itinerary Planning

https://github.com/roatienza/agmax

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Improving Model Generalization by Agreement of Learned Representations from Data Augmentation

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.