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/mribrahim/PESMOD
공식 코드UAV Images Dataset for Moving Object Detection from Moving Cameras
https://github.com/mriglab/gromo-plant-growth-modeling-with-multiview-images
공식 코드https://github.com/mrjleo/boilernet
공식 코드https://github.com/mrluin/textualdegremoval
공식 코드Improving Image Restoration through Removing Degradations in Textual Representations
https://github.com/mrnabati/CenterFusion
공식 코드CenterFusion: Center-based Radar and Camera Fusion for 3D Object Detection
https://github.com/mrnabati/RRPN
공식 코드RRPN: Radar Region Proposal Network for Object Detection in Autonomous Vehicles
https://github.com/mrqrs/cg-ssd
공식 코드CG-SSD: Corner Guided Single Stage 3D Object Detection from LiDAR Point Cloud
https://github.com/mrsempress/obmo
공식 코드OBMO: One Bounding Box Multiple Objects for Monocular 3D Object Detection
https://github.com/mrwow/ladder
공식 코드https://github.com/mrwu-mac/EoID
공식 코드End-to-End Zero-Shot HOI Detection via Vision and Language Knowledge Distillation
https://github.com/mrzzy2021/styledmotionsynthesis
공식 코드Unifying Human Motion Synthesis and Style Transfer with Denoising Diffusion Probabilistic Models
https://github.com/ms2ku-vtts/ms2ku-vtts
공식 코드Multi-Source Spatial Knowledge Understanding for Immersive Visual Text-to-Speech
https://github.com/msadat3/mscinli
공식 코드MSciNLI: A Diverse Benchmark for Scientific Natural Language Inference
https://github.com/msadat3/weighted_cotraining
공식 코드Co-training for Low Resource Scientific Natural Language Inference
https://github.com/msahamed/covid19-text-network
공식 코드Information Mining for COVID-19 Research From a Large Volume of Scientific Literature
https://github.com/mschubert95/identifying_label_errors_in_od
공식 코드Identifying Label Errors in Object Detection Datasets by Loss Inspection
https://github.com/mshenoda/wheel-detector
공식 코드Lighting and Rotation Invariant Real-time Vehicle Wheel Detector based on YOLOv5
https://github.com/msohaildanish/divalign
공식 코드Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment
https://github.com/msprITU/TDIOT
공식 코드TDIOT: Target-driven Inference for Deep Video Object Tracking
https://github.com/msracver/Deformable-ConvNets
공식 코드https://github.com/msracver/Flow-Guided-Feature-Aggregation
공식 코드https://github.com/msracver/Relation-Networks-for-Object-Detection
공식 코드https://github.com/msracver/Style-Feature-Reshuffle
공식 코드https://github.com/msundyy/faster
공식 코드FASTer: Focal Token Acquiring-and-Scaling Transformer for Long-term 3D Object Detection
https://github.com/mtayyab454/CNN-compression-ICIP2021
공식 코드Compressing Deep CNNs using Basis Representation and Spectral Fine-tuning
https://github.com/mtkresearch/shortest-path-diffusion
공식 코드https://github.com/mtran14/dp_w2v2
공식 코드A Speech Representation Anonymization Framework via Selective Noise Perturbation
https://github.com/muhaochen/subarticle
공식 코드Neural Article Pair Modeling for Wikipedia Sub-article Matching
https://github.com/multimedialabsfu/learned-point-cloud-compression-for-classification
공식 코드https://github.com/multimodal-art-projection/yue
공식 코드YuE: Scaling Open Foundation Models for Long-Form Music Generation
https://github.com/multitel-ai/cia
공식 코드CIA: Controllable Image Augmentation Framework Based on Stable Diffusion
https://github.com/mumianyuxin/M3DSSD
공식 코드https://github.com/murrayds/sci-text-disagreement
공식 코드https://github.com/murufeng/EPSANet
공식 코드EPSANet: An Efficient Pyramid Squeeze Attention Block on Convolutional Neural Network
https://github.com/musab-r/TCN
공식 코드Teacher-Class Network: A Neural Network Compression Mechanism
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.