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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/computer-vision-in-the-wild/cvinw_readings

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ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models

https://github.com/computer-vision2022/pama

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Consistent Style Transfer

https://github.com/conflict-ai/conflictwiki

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Classifying Dyads for Militarized Conflict Analysis

https://github.com/contgenmod/continuous-generative-neural-network

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Continuous Generative Neural Networks: A Wavelet-Based Architecture in Function Spaces

https://github.com/continental/uncertainty-detection-autolabeling

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Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection

https://github.com/continualai/clvision-challenge-2022

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3rd Continual Learning Workshop Challenge on Egocentric Category and Instance Level Object Understanding

https://github.com/coo1sea/ovt-b-dataset

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OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking

https://github.com/cookielee77/DAST

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Domain Adaptive Text Style Transfer

https://github.com/coolbay/Dr2Net

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Dr$^2$Net: Dynamic Reversible Dual-Residual Networks for Memory-Efficient Finetuning

https://github.com/copenlu/scientific-exaggeration-detection

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Semi-Supervised Exaggeration Detection of Health Science Press Releases

https://github.com/coperception/robosac

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Among Us: Adversarially Robust Collaborative Perception by Consensus

https://github.com/coqui-ai/TTS

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YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

https://github.com/cornell-zhang/dnn-quant-ocs

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Improving Neural Network Quantization without Retraining using Outlier Channel Splitting

https://github.com/correr-zhou/disco

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Distribution-Aware Calibration for Object Detection with Noisy Bounding Boxes

https://github.com/cosmoiknoslab/nulite

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NuLite -- Lightweight and Fast Model for Nuclei Instance Segmentation and Classification

https://github.com/cps-research-group/cps-ntu-public

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Demo Abstract: Real-Time Out-of-Distribution Detection on a Mobile Robot

https://github.com/cps-tuwien/learning_human_attention

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Enhancing Robot Learning through Learned Human-Attention Feature Maps

https://github.com/cpystan/psm

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Exploring Unsupervised Cell Recognition with Prior Self-activation Maps

https://github.com/craftGBD/craftGBD

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Crafting GBD-Net for Object Detection

https://github.com/craston/object_detection_cib

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Class Imbalance in Object Detection: An Experimental Diagnosis and Study of Mitigation Strategies

https://github.com/crishy1995/headnerf

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HeadNeRF: A Real-time NeRF-based Parametric Head Model

https://github.com/cristinalan/flowmur

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FlowMur: A Stealthy and Practical Audio Backdoor Attack with Limited Knowledge

https://github.com/crosszamirski/guided-i2i

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Class-Guided Image-to-Image Diffusion: Cell Painting from Brightfield Images with Class Labels

https://github.com/crowddynamicslab/styleinfusion

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Audience-Centric Natural Language Generation via Style Infusion

https://github.com/crusnic-corp/BN-DRISHTI

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BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text Images

https://github.com/cs-chan/Exclusively-Dark-Image-Dataset

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Getting to Know Low-light Images with The Exclusively Dark Dataset

https://github.com/csbhr/CDVD-TSP

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Cascaded Deep Video Deblurring Using Temporal Sharpness Prior

https://github.com/csdllab/mca

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MCA: Moment Channel Attention Networks

https://github.com/csdwren/SelfDeblur

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Neural Blind Deconvolution Using Deep Priors

https://github.com/csebuetnlp/crosssum

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CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs

https://github.com/cshaib/summarizing-medical-evidence

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Summarizing, Simplifying, and Synthesizing Medical Evidence Using GPT-3 (with Varying Success)

https://github.com/cshaitao/lexrag

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LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation

https://github.com/cshan-github/tonguesam

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TongueSAM: An Universal Tongue Segmentation Model Based on SAM with Zero-Shot

https://github.com/csiplab/ebad

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Ensemble-based Blackbox Attacks on Dense Prediction

https://github.com/csiro-robotics/fn_mechanisms

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What's in the Black Box? The False Negative Mechanisms Inside Object Detectors

https://github.com/cskkxjk/mononerd

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MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection

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