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2D Classification

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/liwei109/sepvit

공식 코드

SepViT: Separable Vision Transformer

https://github.com/lixiaotong97/mc-beit

공식 코드

mc-BEiT: Multi-choice Discretization for Image BERT Pre-training

https://github.com/lixilinx/MCMIL

공식 코드

A Multiclass Multiple Instance Learning Method with Exact Likelihood

https://github.com/lixinustc/awesome-diffusion-model-for-image-processing

공식 코드

Diffusion Models for Image Restoration and Enhancement -- A Comprehensive Survey

https://github.com/liyih/corenet

공식 코드

CoreNet: Conflict Resolution Network for Point-Pixel Misalignment and Sub-Task Suppression of 3D LiDAR-Camera Object Detection

https://github.com/liyih/rctrans

공식 코드

RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection

https://github.com/liyingcheng95/iam

공식 코드

IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks

https://github.com/liyucheng09/llm-compressive

공식 코드

Evaluating Large Language Models for Generalization and Robustness via Data Compression

https://github.com/liyucheng09/selective_context

공식 코드

Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

https://github.com/liyucs/dpanet

공식 코드

Learning Dual-Pixel Alignment for Defocus Deblurring

https://github.com/liyucs/jdrl

공식 코드

Learning Single Image Defocus Deblurring with Misaligned Training Pairs

https://github.com/liyunfenglyf/kf_in_underwater_trackers

공식 코드

Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater Vehicles

https://github.com/liyunfenglyf/uostrack

공식 코드

Underwater Object Tracker: UOSTrack for Marine Organism Grasping of Underwater Vehicles

https://github.com/liyunsheng13/dpp

공식 코드

Should All Proposals be Treated Equally in Object Detection?

https://github.com/liz66666/gpa3d

공식 코드

GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds

https://github.com/lizaharrison/web2pubmed

공식 코드

Recommending research articles to consumers of online vaccination information

https://github.com/lizhuoling/voxelformer-public

공식 코드

VoxelFormer: Bird's-Eye-View Feature Generation based on Dual-view Attention for Multi-view 3D Object Detection

https://github.com/lizixing23/AMBOKD

공식 코드

Adaptive Modality Balanced Online Knowledge Distillation for Brain-Eye-Computer based Dim Object Detection

https://github.com/lizzy8587/castdet

공식 코드

Toward Open Vocabulary Aerial Object Detection with CLIP-Activated Student-Teacher Learning

https://github.com/ljacksonpan/ratrack

공식 코드

RaTrack: Moving Object Detection and Tracking with 4D Radar Point Cloud

https://github.com/ljzycmd/rawblur

공식 코드

Towards Real-World Video Deblurring by Exploring Blur Formation Process

https://github.com/ljzycmd/vdtr

공식 코드

VDTR: Video Deblurring with Transformer

https://github.com/lkeab/BCNet

공식 코드

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers

https://github.com/lkeab/gaussian-grouping

공식 코드

Gaussian Grouping: Segment and Edit Anything in 3D Scenes

https://github.com/lkpengcs/dcda

공식 코드

Unsupervised Domain Adaptation for Cross-Modality Retinal Vessel Segmentation via Disentangling Representation Style Transfer and Collaborative Consistency Learning

https://github.com/lliuz/mixteacher

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MixTeacher: Mining Promising Labels with Mixed Scale Teacher for Semi-Supervised Object Detection

https://github.com/llnl/luar

공식 코드

Can Authorship Representation Learning Capture Stylistic Features?

https://github.com/lluckyyh/vt-ada

공식 코드

Vision Transformer-based Adversarial Domain Adaptation

https://github.com/lluisgomez/TextTopicNet

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TextTopicNet - Self-Supervised Learning of Visual Features Through Embedding Images on Semantic Text Spaces

https://github.com/lmb-freiburg/locov

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Localized Vision-Language Matching for Open-vocabulary Object Detection

https://github.com/lmb-freiburg/ovqa

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Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy

https://github.com/lmmh058/fsatfusion

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FSATFusion: Frequency-Spatial Attention Transformer for Infrared and Visible Image Fusion

https://github.com/lmmmeng/overlock

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OverLoCK: An Overview-first-Look-Closely-next ConvNet with Context-Mixing Dynamic Kernels

https://github.com/lmmmeng/sparx

공식 코드

SparX: A Sparse Cross-Layer Connection Mechanism for Hierarchical Vision Mamba and Transformer Networks

https://github.com/lmmmeng/transxnet

공식 코드

TransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Visual Recognition

https://github.com/lochenchou/MOSNet

공식 코드

MOSNet: Deep Learning based Objective Assessment for Voice Conversion

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.