Rich feature hierarchies for accurate object detection and semantic segmentation
Paper
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1311.2524
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Published
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1
cv papers
computer vision papers π
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DeepPose: Human Pose Estimation via Deep Neural Networks
Paper β’ 1312.4659 β’ Published β’ 1 -
Generative Adversarial Networks
Paper β’ 1406.2661 β’ Published β’ 4 -
scikit-image: Image processing in Python
Paper β’ 1407.6245 β’ Published β’ 1 -
ImageNet Large Scale Visual Recognition Challenge
Paper β’ 1409.0575 β’ Published β’ 8 -
Very Deep Convolutional Networks for Large-Scale Image Recognition
Paper β’ 1409.1556 β’ Published β’ 1 -
Going Deeper with Convolutions
Paper β’ 1409.4842 β’ Published β’ 2 -
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Paper β’ 1412.7062 β’ Published β’ 1 -
U-Net: Convolutional Networks for Biomedical Image Segmentation
Paper β’ 1505.04597 β’ Published β’ 9 -
You Only Look Once: Unified, Real-Time Object Detection
Paper β’ 1506.02640 β’ Published β’ 1 -
Deep Residual Learning for Image Recognition
Paper β’ 1512.03385 β’ Published β’ 6 -
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
Paper β’ 1602.07360 β’ Published β’ 1 -
Identity Mappings in Deep Residual Networks
Paper β’ 1603.05027 β’ Published β’ 3 -
Densely Connected Convolutional Networks
Paper β’ 1608.06993 β’ Published β’ 3 -
Xception: Deep Learning with Depthwise Separable Convolutions
Paper β’ 1610.02357 β’ Published β’ 1 -
Image-to-Image Translation with Conditional Adversarial Networks
Paper β’ 1611.07004 β’ Published β’ 1 -
YOLO9000: Better, Faster, Stronger
Paper β’ 1612.08242 β’ Published β’ 1 -
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Paper β’ 1703.10593 β’ Published β’ 1 -
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Paper β’ 1704.04861 β’ Published β’ 1 -
A Style-Based Generator Architecture for Generative Adversarial Networks
Paper β’ 1812.04948 β’ Published β’ 2 -
OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
Paper β’ 1812.08008 β’ Published β’ 1 -
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Paper β’ 1905.11946 β’ Published β’ 3 -
Deep High-Resolution Representation Learning for Visual Recognition
Paper β’ 1908.07919 β’ Published β’ 2 -
End-to-End Object Detection with Transformers
Paper β’ 2005.12872 β’ Published β’ 5 -
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Paper β’ 2010.11929 β’ Published β’ 8 -
Learning Transferable Visual Models From Natural Language Supervision
Paper β’ 2103.00020 β’ Published β’ 11 -
Vision Transformers for Dense Prediction
Paper β’ 2103.13413 β’ Published β’ 1 -
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows
Paper β’ 2103.14030 β’ Published β’ 4 -
Emerging Properties in Self-Supervised Vision Transformers
Paper β’ 2104.14294 β’ Published β’ 3 -
Elucidating the Design Space of Diffusion-Based Generative Models
Paper β’ 2206.00364 β’ Published β’ 15 -
Score-Based Generative Modeling through Stochastic Differential Equations
Paper β’ 2011.13456 β’ Published β’ 2 -
Mixture of Diffusers for scene composition and high resolution image generation
Paper β’ 2302.02412 β’ Published β’ 1 -
Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image Generation
Paper β’ 2406.02347 β’ Published β’ 3 -
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching
Paper β’ 2402.14167 β’ Published β’ 12 -
eDiff-I: Text-to-Image Diffusion Models with an Ensemble of Expert Denoisers
Paper β’ 2211.01324 β’ Published β’ 3 -
Prompt-to-Prompt Image Editing with Cross Attention Control
Paper β’ 2208.01626 β’ Published β’ 2 -
FreeU: Free Lunch in Diffusion U-Net
Paper β’ 2309.11497 β’ Published β’ 65 -
Depth Anything V2
Paper β’ 2406.09414 β’ Published β’ 97 -
Make It Count: Text-to-Image Generation with an Accurate Number of Objects
Paper β’ 2406.10210 β’ Published β’ 77 -
Scaling Rectified Flow Transformers for High-Resolution Image Synthesis
Paper β’ 2403.03206 β’ Published β’ 63 -
Consistency Models
Paper β’ 2303.01469 β’ Published β’ 8 -
aMUSEd: An Open MUSE Reproduction
Paper β’ 2401.01808 β’ Published β’ 29 -
Common Diffusion Noise Schedules and Sample Steps are Flawed
Paper β’ 2305.08891 β’ Published β’ 8 -
ControlNet-XS: Designing an Efficient and Effective Architecture for Controlling Text-to-Image Diffusion Models
Paper β’ 2312.06573 β’ Published β’ 1 -
Imagine yourself: Tuning-Free Personalized Image Generation
Paper β’ 2409.13346 β’ Published β’ 69 -
An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion
Paper β’ 2208.01618 β’ Published β’ 1 -
Playground v3: Improving Text-to-Image Alignment with Deep-Fusion Large Language Models
Paper β’ 2409.10695 β’ Published β’ 2 -
Wasserstein GAN
Paper β’ 1701.07875 β’ Published β’ 1 -
Conditional Generative Adversarial Nets
Paper β’ 1411.1784 β’ Published β’ 1 -
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Paper β’ 1511.06434 β’ Published β’ 1 -
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Paper β’ 1609.04802 β’ Published β’ 1 -
Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold
Paper β’ 2305.10973 β’ Published β’ 35 -
Autoregressive Image Generation without Vector Quantization
Paper β’ 2406.11838 β’ Published β’ 3 -
CLIPAway: Harmonizing Focused Embeddings for Removing Objects via Diffusion Models
Paper β’ 2406.09368 β’ Published β’ 1