Papers with Code 아카이브
2D Classification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 27
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://gitlab.kitware.com/darpa_learn/learn
공식 코드LEARN: A Unified Framework for Multi-Task Domain Adapt Few-Shot Learning
https://gitlab.lrz.de/hctl/Iris-Obfuscation-Benchmark
공식 코드Trade-offs in Privacy-Preserving Eye Tracking through Iris Obfuscation: A Benchmarking Study
https://gitlab.lrz.de/hctl/Iris-Style-Transfer
공식 코드https://gitlab.mpi-klsb.mpg.de/jdong/dwdn
공식 코드DWDN: Deep Wiener Deconvolution Network for Non-Blind Image Deblurring
https://huggingface.co/Akila/ForgottenRealmsFreeTextGenerator
공식 코드Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragons
https://huggingface.co/datasets/jdustinwind/Polite
공식 코드Pay Attention to Your Tone: Introducing a New Dataset for Polite Language Rewrite
https://huggingface.co/microsoft/BiomedCLIP-PubMedBERT_256-vit_base_patch16_224
공식 코드https://huggingface.co/nevmenandr/char-based-lstm-russian-poetry-pasternak
공식 코드Identifying the style by a qualified reader on a short fragment of generated poetry
https://isrc.iscas.ac.cn/gitlab/research/locount-dataset.git
공식 코드https://worksheets.codalab.org/worksheets/0x243284b4d81d4590b46030cdd3b72633
공식 코드How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions
https://worksheets.codalab.org/worksheets/0xbcd424d2bf544c4786efcc0063759b1a
공식 코드https://worksheets.codalab.org/worksheets/0xd53d03a48ef64b329c16b9baf0f99b0c
공식 코드https://worksheets.codalab.org/worksheets/0xe3eb416773ed4883bb737662b31b4948
공식 코드Delete, Retrieve, Generate: A Simple Approach to Sentiment and Style Transfer
https://zenodo.org/record/12611978
공식 코드MMVR: Millimeter-wave Multi-View Radar Dataset and Benchmark for Indoor Perception
https://bitbucket.org/luanyi/scierc
https://bitbucket.org/nishkalavallabhi/complexity-features
Readability-based Sentence Ranking for Evaluating Text Simplification
https://dagshub.com/Bharat-mtr/DeepFlux
https://dagshub.com/Bharat-mtr/EGNet
https://dagshub.com/Bharat-mtr/yolov1-tf2
https://dagshub.com/arnavr.neo/VT-LPR
Vehicle and License Plate Recognition with Novel Dataset for Toll Collection
https://dagshub.com/arnavr.neo/YOLOX
https://dagshub.com/f2010126/Zero-shot-Instance-Segmentation
https://gitee.com/dakerqinqi/wslnet
A Weakly Supervised Learning Framework for Salient Object Detection via Hybrid Labels
https://gitee.com/gai-shaoyan/mind3d
PointPillars: Fast Encoders for Object Detection from Point Clouds
https://gitee.com/ke-01/tnet_mindspore
Does Thermal Really Always Matter for RGB-T Salient Object Detection?
https://github.com/0jason000/GoogleNet
https://github.com/0jason000/MobileNet_V2
https://github.com/0jason000/MobilleNetV3
https://github.com/0jason000/ShuffleNetV1
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
https://github.com/0jason000/convnext
https://github.com/0jason000/mae_vit
https://github.com/0xPr0xy/CoreML
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/0xPr0xy/MobileNet-CoreML
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
https://github.com/0xzayd/Wnet-cGAN
U-Net: Convolutional Networks for Biomedical Image Segmentation
https://github.com/101vinayak/Neural-Style-Transfer
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.