https://github.com/sonlam1102/vimmrc2
공식 코드A Multiple Choices Reading Comprehension Corpus for Vietnamese Language Education
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://github.com/sonlam1102/vlogqa
공식 코드VlogQA: Task, Dataset, and Baseline Models for Vietnamese Spoken-Based Machine Reading Comprehension
https://github.com/sonnguyen129/deep-feature-rotation
공식 코드https://github.com/sony/ai-research-code
공식 코드Densely connected multidilated convolutional networks for dense prediction tasks
https://github.com/sony/ai-research-code/tree/master/d3net/music-source-separation
공식 코드D3Net: Densely connected multidilated DenseNet for music source separation
https://github.com/sony/gibbsddrm
공식 코드https://github.com/sony/model_optimization
공식 코드https://github.com/sonyresearch/coala
공식 코드COALA: A Practical and Vision-Centric Federated Learning Platform
https://github.com/sooyyoungg/aesfa
공식 코드AesFA: An Aesthetic Feature-Aware Arbitrary Neural Style Transfer
https://github.com/sophiajw/HistAuGAN
공식 코드https://github.com/sotam2369/MOD-CL
공식 코드https://github.com/sotif-avlab/pesotif
공식 코드PeSOTIF: a Challenging Visual Dataset for Perception SOTIF Problems in Long-tail Traffic Scenarios
https://github.com/soumik-kanad/diffssl
공식 코드Do text-free diffusion models learn discriminative visual representations?
https://github.com/sourachakra/scosparc
공식 코드Self-supervised co-salient object detection via feature correspondence at multiple scales
https://github.com/source-data/soda-data
공식 코드Integrating curation into scientific publishing to train AI models
https://github.com/souro/multilingual_text_detoxification
공식 코드https://github.com/souro/multilingual_tst
공식 코드Multilingual Text Style Transfer: Datasets & Models for Indian Languages
https://github.com/souro/polarity-denoising-sentiment-transfer
공식 코드Balancing the Style-Content Trade-Off in Sentiment Transfer Using Polarity-Aware Denoising
https://github.com/souro/tst_llm
공식 코드Are Large Language Models Actually Good at Text Style Transfer?
https://github.com/spaxilia/recover-triggered-states
공식 코드Recover Triggered States: Protect Model Against Backdoor Attack in Reinforcement Learning
https://github.com/speedinghzl/CCNet
공식 코드https://github.com/spengliang/did-m3d
공식 코드DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection
https://github.com/spengliang/lpcg
공식 코드https://github.com/spengliang/occupancym3d
공식 코드https://github.com/spengliang/weakm3d
공식 코드WeakM3D: Towards Weakly Supervised Monocular 3D Object Detection
https://github.com/spider-sense/shop
공식 코드https://github.com/spidernitt/sam-pm
공식 코드SAM-PM: Enhancing Video Camouflaged Object Detection using Spatio-Temporal Attention
https://github.com/spirosmaggioros/ForestFires
공식 코드Wildfire danger prediction optimization with transfer learning
https://github.com/spotzi/Geotagger
공식 코드https://github.com/spravil/HyenaPixel
공식 코드https://github.com/sprenkamp/llm_propaganda_detection
공식 코드https://github.com/srijamiya/LittleYOLO-SPP
공식 코드LittleYOLO-SPP: A Delicate Real-Time Vehicle Detection Algorithm
https://github.com/srikarym/CCTV-Gun
공식 코드https://github.com/srinivas-512/pnp_nystra
공식 코드Plug-and-Play Linear Attention for Pre-trained Image and Video Restoration Models
https://github.com/ssecv/CoLA
공식 코드CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection
https://github.com/ssecv/leno
공식 코드LeNo: Adversarial Robust Salient Object Detection Networks with Learnable Noise
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.