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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/chensy7/efficient-vit

공식 코드

Compressing Vision Transformers for Low-Resource Visual Learning

https://github.com/chenxi-guo/transgop

공식 코드

TransGOP: Transformer-Based Gaze Object Prediction

https://github.com/chenyilun95/DSGN

공식 코드

DSGN: Deep Stereo Geometry Network for 3D Object Detection

https://github.com/chenyilun95/dsgn2

공식 코드

DSGN++: Exploiting Visual-Spatial Relation for Stereo-based 3D Detectors

https://github.com/chenyingshu/advances_3d_neural_stylization

공식 코드

Advances in 3D Neural Stylization: A Survey

https://github.com/chenzuge1/DSANet

공식 코드

Decoupled Self Attention for Accurate One Stage Object Detection

https://github.com/chequanghuy/Character-Time-series-Matching

공식 코드

Character Time-series Matching For Robust License Plate Recognition

https://github.com/chicagohai/entity-based-political-bias

공식 코드

Entity-Based Evaluation of Political Bias in Automatic Summarization

https://github.com/chichidd/backdoordynamicdnn

공식 코드

Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing

https://github.com/chinjouli/dysaug-vc

공식 코드

Towards Inclusive ASR: Investigating Voice Conversion for Dysarthric Speech Recognition in Low-Resource Languages

https://github.com/chips96/deyolo

공식 코드

DEYOLO: Dual-Feature-Enhancement YOLO for Cross-Modality Object Detection

https://github.com/chiutaiyin/PhotoWCT2

공식 코드

PhotoWCT$^2$: Compact Autoencoder for Photorealistic Style Transfer Resulting from Blockwise Training and Skip Connections of High-Frequency Residuals

https://github.com/chiutaiyin/pca-knowledge-distillation

공식 코드

PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models

https://github.com/chongjiange/care

공식 코드

Revitalizing CNN Attentions via Transformers in Self-Supervised Visual Representation Learning

https://github.com/chongqingnosubway/pdl

공식 코드

PDL: Regularizing Multiple Instance Learning with Progressive Dropout Layers

https://github.com/chosj95/mimo-unet

공식 코드

Rethinking Coarse-to-Fine Approach in Single Image Deblurring

https://github.com/chreisinger/ViLGOD

공식 코드

Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection

https://github.com/chrischen1023/sem-net

공식 코드

SEM-Net: Efficient Pixel Modelling for image inpainting with Spatially Enhanced SSM

https://github.com/chrishokamp/dynamic-transformer-ensembles

공식 코드

DynE: Dynamic Ensemble Decoding for Multi-Document Summarization

https://github.com/chrisjtan/RWS

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A Self-supervised Learning System for Object Detection in Videos Using Random Walks on Graphs

https://github.com/christoschr97/misinf-detection-llms

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Identifying Misinformation on YouTube through Transcript Contextual Analysis with Transformer Models

https://github.com/chriswise07/imperceptible-patch-generator

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Developing Imperceptible Adversarial Patches to Camouflage Military Assets From Computer Vision Enabled Technologies

https://github.com/chuanli11/MGANs

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Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks

https://github.com/chuanyangzheng/iformer

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iFormer: Integrating ConvNet and Transformer for Mobile Application

https://github.com/chumingqian/Model_Compression_For_YOLOV3-V4

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Group channel pruning and spatial attention distilling for object detection

https://github.com/chungyi347/interactive-multi-class-tiny-object-detection

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Interactive Multi-Class Tiny-Object Detection

https://github.com/chunminghe/awesome-concealed-object-segmentation

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A Survey of Camouflaged Object Detection and Beyond

https://github.com/chunminghe/camouflageator

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Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects

https://github.com/chuxiuhong/dualteacher

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DualTeacher: Bridging Coexistence of Unlabelled Classes for Semi-supervised Incremental Object Detection

https://github.com/chwilms/AttentionMask

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AttentionMask: Attentive, Efficient Object Proposal Generation Focusing on Small Objects

https://github.com/chwilms/superpixelRefinement

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Superpixel-based Refinement for Object Proposal Generation

https://github.com/chxy95/genlv

공식 코드

Learning A Low-Level Vision Generalist via Visual Task Prompt

https://github.com/ciarabee/fake_news_classification

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Transforming Fake News: Robust Generalisable News Classification Using Transformers

https://github.com/cicl-iscl/CyberWallE-propaganda-detection

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CyberWallE at SemEval-2020 Task 11: An Analysis of Feature Engineering for Ensemble Models for Propaganda Detection

https://github.com/cidautai/darkir

공식 코드

DarkIR: Robust Low-Light Image Restoration

https://github.com/cifkao/ismir2019-music-style-translation

공식 코드

Supervised Symbolic Music Style Translation Using Synthetic Data

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