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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/ruiyum/stone

공식 코드

STONE: A Submodular Optimization Framework for Active 3D Object Detection

https://github.com/ruizvitor/ANDA

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ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection

https://github.com/rumsyx/RPCF

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ROI Pooled Correlation Filters for Visual Tracking

https://github.com/runpeidong/pointdistiller

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PointDistiller: Structured Knowledge Distillation Towards Efficient and Compact 3D Detection

https://github.com/ruoxi-jia-group/narcissus-backdoor-attack

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Narcissus: A Practical Clean-Label Backdoor Attack with Limited Information

https://github.com/ruoyuchen10/vps

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Interpreting Object-level Foundation Models via Visual Precision Search

https://github.com/russellllaputa/MIRL

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Masked Image Residual Learning for Scaling Deeper Vision Transformers

https://github.com/ruyue0001/backdoor_dpr

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Whispers in Grammars: Injecting Covert Backdoors to Compromise Dense Retrieval Systems

https://github.com/rvandeghen/ASTOD

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Adaptive Self-Training for Object Detection

https://github.com/rwgai/rwds

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Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery

https://github.com/rwightman/pytorch-image-models

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TResNet: High Performance GPU-Dedicated Architecture

https://github.com/ry3ng/sa-lut

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SA-LUT: Spatial Adaptive 4D Look-Up Table for Photorealistic Style Transfer

https://github.com/ryanchenyn/imageinversion

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Image Inversion: A Survey from GANs to Diffusion and Beyond

https://github.com/ryoo72/una

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Universal Noise Annotation: Unveiling the Impact of Noisy annotation on Object Detection

https://github.com/s-enmt/pseudodomainbed

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Pseudo Multi-Source Domain Generalization: Bridging the Gap Between Single and Multi-Source Domain Generalization

https://github.com/s-huu/jog_llm_memory

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Jogging the Memory of Unlearned LLMs Through Targeted Relearning Attacks

https://github.com/s-nlp/formality

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Detecting Text Formality: A Study of Text Classification Approaches

https://github.com/s-nlp/lewit-informal

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Don't lose the message while paraphrasing: A study on content preserving style transfer

https://github.com/s3anwu/pbrnerf

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PBR-NeRF: Inverse Rendering with Physics-Based Neural Fields

https://github.com/s3prl/s3prl

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S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations

https://github.com/s3prl/s3prl/tree/master/s3prl/downstream/mos_prediction

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Utilizing Self-supervised Representations for MOS Prediction

https://github.com/s4nyam/gradcam-yolo

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Adversarial Attack On Yolov5 For Traffic And Road Sign Detection

https://github.com/s603122001/Bidirectional-Music-Style-Transformer

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Actions Speak Louder than Listening: Evaluating Music Style Transfer based on Editing Experience

https://github.com/sa4s-serc/adamls

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Towards Self-Adaptive Machine Learning-Enabled Systems Through QoS-Aware Model Switching

https://github.com/sabithsn/appdia-discourse-style-transfer

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APPDIA: A Discourse-aware Transformer-based Style Transfer Model for Offensive Social Media Conversations

https://github.com/sabrikhalil/micro_mobility_detection

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Detection of Micromobility Vehicles in Urban Traffic Videos

https://github.com/sachinraja13/TabStructNet

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Table Structure Recognition using Top-Down and Bottom-Up Cues

https://github.com/sachit-menon/generating-illustrated-instructions-reproduction

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Generating Illustrated Instructions

https://github.com/sacmehta/EdgeNets

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ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network

https://github.com/sadrultoaha/signboard-detection

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Automatic Signboard Detection and Localization in Densely Populated Developing Cities

https://github.com/safednn-group/naptron

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Detecting Out-of-distribution Objects Using Neuron Activation Patterns

https://github.com/safednn-group/safednn-clean

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Combating noisy labels in object detection datasets

https://github.com/safetylab24/FusionCVCP

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CVCP-Fusion: On Implicit Depth Estimation for 3D Bounding Box Prediction

https://github.com/safouaneelg/FusionVision

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FusionVision: A comprehensive approach of 3D object reconstruction and segmentation from RGB-D cameras using YOLO and fast segment anything

https://github.com/safouaneelg/SRT2I

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Class-Conditional self-reward mechanism for improved Text-to-Image models

https://github.com/sagerpascal/dynamic-link-architecture

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The Cooperative Network Architecture: Learning Structured Networks as Representation of Sensory Patterns

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