2D Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/seonwhee-genome/rvernet
공식 코드https://github.com/seq-to-mind/semi-style-transfer
공식 코드https://github.com/seqam-lab/alwod
공식 코드ALWOD: Active Learning for Weakly-Supervised Object Detection
https://github.com/seralab/robust-and-accurate-uv-map-based-camouflage-attack
공식 코드https://github.com/sercharles/cn-rma
공식 코드https://github.com/serendipity618/ba-ocad
공식 코드Backdoor Attack against One-Class Sequential Anomaly Detection Models
https://github.com/serenos/di-v2x
공식 코드https://github.com/seungukyu/msqad
공식 코드https://github.com/seungwonoh5/Adversarial_Attacks_against_Object_Detection
공식 코드Resilience of Autonomous Vehicle Object Category Detection to Universal Adversarial Perturbations
https://github.com/sevvalckc/Turkish-SAD
공식 코드A Cross-Validation Study of Turkish Sentiment Analysis Datasets and Tools
https://github.com/sf-zhai/badt2i
공식 코드Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning
https://github.com/sfu-discourse-lab/gendergaptracker
공식 코드Radar de Parité: An NLP system to measure gender representation in French news stories
https://github.com/sfzhang15/ATSS
공식 코드https://github.com/sfzhang15/RefineDet
공식 코드https://github.com/sh-lee-prml/hierspeechpp
공식 코드https://github.com/shachoi/RobustNet
공식 코드https://github.com/shafieabdi/somalilemmatizer
공식 코드Lexicon and Rule-based Word Lemmatization Approach for the Somali Language
https://github.com/shahab-k93/cancer-and-smart-nanorobot
공식 코드https://github.com/shahaf1313/procst
공식 코드ProCST: Boosting Semantic Segmentation Using Progressive Cyclic Style-Transfer
https://github.com/shahsohil/sunets
공식 코드Stacked U-Nets: A No-Frills Approach to Natural Image Segmentation
https://github.com/shaiqmalik/Teacher-Class
공식 코드Teacher-Class Network: A Neural Network Compression Mechanism
https://github.com/shallinan1/steerstyletransfer
공식 코드https://github.com/shamanDevel/AdaptiveSampling
공식 코드Learning Adaptive Sampling and Reconstruction for Volume Visualization
https://github.com/shangjingbo1226/Maester
공식 코드https://github.com/shangtse/robust-physical-attack
공식 코드ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
https://github.com/shangwei5/stgtn
공식 코드Aggregating Nearest Sharp Features via Hybrid Transformers for Video Deblurring
https://github.com/shangwei5/vidue
공식 코드Joint Video Multi-Frame Interpolation and Deblurring under Unknown Exposure Time
https://github.com/shank2358/mudet
공식 코드https://github.com/shanshuo/diagnosevrd
공식 코드https://github.com/shaohua0116/MultiDigitMNIST
공식 코드GMAIR: Unsupervised Object Detection Based on Spatial Attention and Gaussian Mixture
https://github.com/shaohuadong2021/dplnet
공식 코드Efficient Multimodal Semantic Segmentation via Dual-Prompt Learning
https://github.com/shaojintian/power_law_decay
공식 코드https://github.com/shaoqb/multi_scale_booster
공식 코드Attentive CT Lesion Detection Using Deep Pyramid Inference with Multi-Scale Booster
https://github.com/shaoqing26/fusionpainting
공식 코드FusionPainting: Multimodal Fusion with Adaptive Attention for 3D Object Detection
https://github.com/sharan21/epaae
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.