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Collections including paper arxiv:2404.07448

Papers - Image - Clip - Coco Testing

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

Paper • 2310.03502 • Published Oct 5, 2023 • 78
Transferable and Principled Efficiency for Open-Vocabulary Segmentation

Paper • 2404.07448 • Published Apr 11, 2024 • 11
RegionGPT: Towards Region Understanding Vision Language Model

Paper • 2403.02330 • Published Mar 4, 2024 • 2
GLIGEN: Open-Set Grounded Text-to-Image Generation

Paper • 2301.07093 • Published Jan 17, 2023 • 3

Papers - Image - Coco Testing

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

Paper • 2310.03502 • Published Oct 5, 2023 • 78
Transferable and Principled Efficiency for Open-Vocabulary Segmentation

Paper • 2404.07448 • Published Apr 11, 2024 • 11
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models

Paper • 2404.07973 • Published Apr 11, 2024 • 30
COCONut: Modernizing COCO Segmentation

Paper • 2404.08639 • Published Apr 12, 2024 • 28

Papers - Image - Encoders - Clip

TextCraftor: Your Text Encoder Can be Image Quality Controller

Paper • 2403.18978 • Published Mar 27, 2024 • 13
InstantStyle: Free Lunch towards Style-Preserving in Text-to-Image Generation

Paper • 2404.02733 • Published Apr 3, 2024 • 20
OmniFusion Technical Report

Paper • 2404.06212 • Published Apr 9, 2024 • 75
Transferable and Principled Efficiency for Open-Vocabulary Segmentation

Paper • 2404.07448 • Published Apr 11, 2024 • 11

Papers - Image - Clip

Demystifying CLIP Data

Paper • 2309.16671 • Published Sep 28, 2023 • 20
Model Stock: All we need is just a few fine-tuned models

Paper • 2403.19522 • Published Mar 28, 2024 • 10
Bigger is not Always Better: Scaling Properties of Latent Diffusion Models

Paper • 2404.01367 • Published Apr 1, 2024 • 21
On the Scalability of Diffusion-based Text-to-Image Generation

Paper • 2404.02883 • Published Apr 3, 2024 • 17

Papers - Image - Segmentation

Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images

Paper • 2310.16186 • Published Oct 24, 2023 • 2
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes

Paper • 1709.07330 • Published Sep 21, 2017 • 2
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans

Paper • 1801.08599 • Published Jan 25, 2018 • 2
RTSeg: Real-time Semantic Segmentation Comparative Study

Paper • 1803.02758 • Published Mar 7, 2018 • 2

Papers - ResNet

Wide Residual Networks

Paper • 1605.07146 • Published May 23, 2016 • 2
Characterizing signal propagation to close the performance gap in unnormalized ResNets

Paper • 2101.08692 • Published Jan 21, 2021 • 2
Pareto-Optimal Quantized ResNet Is Mostly 4-bit

Paper • 2105.03536 • Published May 7, 2021 • 2
When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations

Paper • 2106.01548 • Published Jun 3, 2021 • 2

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 25
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 12
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 40
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 20

Open-vocabulary object detection (OVD).

Simple Open-Vocabulary Object Detection with Vision Transformers

Paper • 2205.06230 • Published May 12, 2022 • 1
google/owlvit-base-patch32

Zero-Shot Object Detection • Updated Dec 12, 2023 • 512k • 122
Region-Aware Pretraining for Open-Vocabulary Object Detection with Vision Transformers

Paper • 2305.07011 • Published May 11, 2023 • 5
Multi-Modal Classifiers for Open-Vocabulary Object Detection

Paper • 2306.05493 • Published Jun 8, 2023 • 6

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