64 papers with code • 21 benchmarks • 19 datasets
Benchmarks
These leaderboards are used to track progress in
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Libraries
Use these libraries to find models and implementations
VoxCeleb1
BIG-bench
VGG Face
GRID Dataset
Subtasks
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Text-to-Image Generation
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Deblurring
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Conformal Prediction
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Image Deblurring
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Image Deblurring
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Face Detection
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Text Simplification
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Self-Supervised Image Classification
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Music Source Separation
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Decision Making Under Uncertainty
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Audio Source Separation
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Community Question Answering
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Image to 3D
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Talking Face Generation
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Voice Cloning
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Image Stylization
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X-ray Classification
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Robust Speech Recognition
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Text-to-Code Generation
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Music Genre Transfer
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Relational Captioning
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Hand
Most implemented papers
Deep Residual Learning for Image Recognition
KaimingHe/resnet-1k-layers
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CVPR 2016
Deep residual nets are foundations of our submissions to ILSVRC & COCO 2015 competitions, where we also won the 1st places on the tasks of ImageNet detection, ImageNet localization, COCO detection, and COCO segmentation.
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
google-research/vision_transformer
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ICLR 2021
While the Transformer architecture has become the de-facto standard for natural language processing tasks, its applications to computer vision remain limited.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
yanx27/Pointnet_Pointnet2_pytorch
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NeurIPS 2017
By exploiting metric space distances, our network is able to learn local features with increasing contextual scales.
Generative Adversarial Text to Image Synthesis
Automatic synthesis of realistic images from text would be interesting and useful, but current AI systems are still far from this goal.
Llama 2: Open Foundation and Fine-Tuned Chat Models
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters.
A Tutorial on Principal Component Analysis
Principal component analysis (PCA) is a mainstay of modern data analysis - a black box that is widely used but (sometimes) poorly understood.
Qwen2.5 Technical Report
qwenlm/qwen2.5
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In addition, for hosted solutions, the proprietary models currently include two mixture-of-experts (MoE) variants: Qwen2. 5-Turbo and Qwen2. 5-Plus, both available from Alibaba Cloud Model Studio.
Real-world adversarial attack on MTCNN face detection system
Recent studies proved that deep learning approaches achieve remarkable results on face detection task.
Anomaly Detection via Reverse Distillation from One-Class Embedding
Knowledge distillation (KD) achieves promising results on the challenging problem of unsupervised anomaly detection (AD). The representation discrepancy of anomalies in the teacher-student (T-S) model provides essential evidence for AD.
Entangled Watermarks as a Defense against Model Extraction
cleverhans-lab/entangled-watermark
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Such pairs are watermarks, which are not sampled from the task distribution and are only known to the defender.
