w64228013

w64228013

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mmdetection

OpenMMLab Detection Toolbox and Benchmark

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peft

🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

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pytorch-template

PyTorch deep learning projects made easy.

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X-AnyLabeling

Effortless data labeling with AI support from Segment Anything and other awesome models.

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EVA

EVA Series: Visual Representation Fantasies from BAAI

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CoOp

Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)

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multimodal-prompt-learning

[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".

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nnDetection

nnDetection is a self-configuring framework for 3D (volumetric) medical object detection which can be applied to new data sets without manual intervention. It includes guides for 12 data sets that were used to develop and evaluate the performance of the proposed method.

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KiU-Net-pytorch

Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI

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VPGTrans

Codes for VPGTrans: Transfer Visual Prompt Generator across LLMs. VL-LLaMA, VL-Vicuna.

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PromptSRC

[ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without Forgetting".

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emotic

PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.

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gpt4v-emotion

GPT-4V with Emotion

UPD

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models

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Exp-BLIP

Official implementation of BMVC2023 Oral paper: 《Describe Your Facial Expressions by Linking Image Encoders and Large Language Models》

BabyLlama

Training code for Baby-Llama, our submission to the strict-small track of the BabyLM challenge.

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FGVP

Official Codes for Fine-Grained Visual Prompting, NeurIPS 2023

UncertaintyFuseNet-for-COVID-19-Classification

Code implementation of 'UncertaintyFuseNet: Robust Uncertainty-aware Hierarchical Feature Fusion with Ensemble Monte Carlo Dropout for COVID-19 Detection'

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GPT4Affectivity

GPT as Psychologist? Preliminary Evaluations for GPT-4V on Visual Affective Computing

AMC-grounding

[CVPR 2023] Code for "Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations"

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BorLan

[ICCV2023] Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm

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CCIM

[CVPR2023] Context De-confounded Emotion Recognition

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WSS_POLE

This is the official implementation of our PrOmpt cLass lEarning (POLE).

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BPM-GCN

A new model for gait emotion recognition

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Detection-of-cells-nuclei-using-DETR

final project for a course on Deep Learning in Medical Imaging

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