SOTAVerified

Image Classification

Image Classification is a fundamental task in vision recognition that aims to understand and categorize an image as a whole under a specific label. Unlike object detection, which involves classification and location of multiple objects within an image, image classification typically pertains to single-object images. When the classification becomes highly detailed or reaches instance-level, it is often referred to as image retrieval, which also involves finding similar images in a large database.

Source: Metamorphic Testing for Object Detection Systems

Papers

Showing 83268350 of 10420 papers

TitleStatusHype
Real-Time Correlation Tracking via Joint Model Compression and TransferCode0
Few-shot Learning for Domain-specific Fine-grained Image Classification0
Compact Global Descriptor for Neural NetworksCode0
Adaptive Regularization via Residual Smoothing in Deep Learning Optimization0
mart mobile application to recognize tomato leaf diseases using Convolutional Neural Networks0
MixConv: Mixed Depthwise Convolutional KernelsCode1
The Effect of Visual Design in Image Classification0
Automatic Radiology Report Generation based on Multi-view Image Fusion and Medical Concept Enrichment0
Image Classification with Hierarchical Multigraph NetworksCode0
Lookahead Optimizer: k steps forward, 1 step backCode1
Data augmentation with Symbolic-to-Real Image Translation GANs for Traffic Sign Recognition0
Subspace Inference for Bayesian Deep LearningCode0
Single-bit-per-weight deep convolutional neural networks without batch-normalization layers for embedded systemsCode0
Relation Network for Multi-label Aerial Image ClassificationCode0
Batch-Shaping for Learning Conditional Channel Gated NetworksCode0
A study on the Interpretability of Neural Retrieval Models using DeepSHAP0
Discriminative Active LearningCode0
Multiscale Principle of Relevant Information for Hyperspectral Image ClassificationCode0
Unsupervised Adversarial Attacks on Deep Feature-based Retrieval with GAN0
Sparse Networks from Scratch: Faster Training without Losing PerformanceCode1
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving0
Security for Distributed Deep Neural Networks Towards Data Confidentiality & Intellectual Property Protection0
Introduction to Camera Pose Estimation with Deep Learning0
Revisiting Metric Learning for Few-Shot Image Classification0
Towards Debugging Deep Neural Networks by Generating Speech UtterancesCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
6DaViT-HTop 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified