https://github.com/sshan-zhao/GASDA
공식 코드Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
Papers with Code 아카이브
2D Classification
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/sshaoshuai/PointCloudDet3D
공식 코드https://github.com/sshaoshuai/PointRCNN
공식 코드PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
https://github.com/sshige/rgbd-saliency
공식 코드https://github.com/sshkhr/BigDataCup18_Submission
공식 코드Road Damage Detection And Classification In Smartphone Captured Images Using Mask R-CNN
https://github.com/ssloxford/short-lived-adversarial-perturbations
공식 코드SLAP: Improving Physical Adversarial Examples with Short-Lived Adversarial Perturbations
https://github.com/ssloxford/they-see-me-rollin
공식 코드They See Me Rollin': Inherent Vulnerability of the Rolling Shutter in CMOS Image Sensors
https://github.com/ssscrystal/reblurring-guided-jdrl
공식 코드https://github.com/sssssuperior/vscode
공식 코드VSCode: General Visual Salient and Camouflaged Object Detection with 2D Prompt Learning
https://github.com/sssste/react
공식 코드https://github.com/ssu-humane/fake-news-thumbnail
공식 코드https://github.com/ssyc123/gsnet
공식 코드Learning to Reduce Information Bottleneck for Object Detection in Aerial Images
https://github.com/stanford-crfm/biomedlm
공식 코드BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text
https://github.com/stanford-oval/storm
공식 코드Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models
https://github.com/stanfordmimi/villa
공식 코드ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data
https://github.com/stanleybak/quantized_nn_backreach
공식 코드https://github.com/stardist/stardist
공식 코드https://github.com/starrytong/SCNet
공식 코드SCNet: Sparse Compression Network for Music Source Separation
https://github.com/startracker0/physaug
공식 코드https://github.com/state-spaces/mamba
공식 코드Mamba: Linear-Time Sequence Modeling with Selective State Spaces
https://github.com/stayalive16/wavedm
공식 코드WaveDM: Wavelet-Based Diffusion Models for Image Restoration
https://github.com/stephaniebrandl/domain-word-embeddings
공식 코드https://github.com/stevekola/sign-to-speech-for-sign-language-understanding
공식 코드Sign-to-Speech Model for Sign Language Understanding: A Case Study of Nigerian Sign Language
https://github.com/steven-lang/dafne
공식 코드DAFNe: A One-Stage Anchor-Free Approach for Oriented Object Detection
https://github.com/stevengrove/vtpack
공식 코드https://github.com/stevenlauhkhk/large-separable-kernel-attention
공식 코드Large Separable Kernel Attention: Rethinking the Large Kernel Attention Design in CNN
https://github.com/stevetsui/ida-det
공식 코드IDa-Det: An Information Discrepancy-aware Distillation for 1-bit Detectors
https://github.com/stevetsui/q-detr
공식 코드Q-DETR: An Efficient Low-Bit Quantized Detection Transformer
https://github.com/stevetsui/rbonn
공식 코드https://github.com/stevewongv/sparse2dense
공식 코드Sparse2Dense: Learning to Densify 3D Features for 3D Object Detection
https://github.com/sthalles/clove
공식 코드Self-supervised Learning of Contextualized Local Visual Embeddings
https://github.com/stiphyjay/lidar-ptq
공식 코드LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
https://github.com/stogiannidis/srbench
공식 코드Mind the Gap: Benchmarking Spatial Reasoning in Vision-Language Models
https://github.com/storidient/koconovel
공식 코드KoCoNovel: Annotated Dataset of Character Coreference in Korean Novels
https://github.com/stormyoung/PRAI-1581
공식 코드https://github.com/strawberryfg/NAPA-NST-HPE
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.