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 52265250 of 10420 papers

TitleStatusHype
Does Data Repair Lead to Fair Models? Curating Contextually Fair Data To Reduce Model BiasCode0
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training ExamplesCode0
DARTS for Inverse Problems: a Study on Stability0
Learning Partial Equivariances from DataCode1
An Adaptive Sampling and Edge Detection Approach for Encoding Static Images for Spiking Neural Networks0
Improving Tail-Class Representation with Centroid Contrastive Learning0
When in Doubt, Summon the Titans: Efficient Inference with Large Models0
Multi-concept adversarial attacks0
EmbRace: Accelerating Sparse Communication for Distributed Training of NLP Neural Networks0
Deep CNNs for Peripheral Blood Cell Classification0
HRFormer: High-Resolution Transformer for Dense PredictionCode1
Training Deep Neural Networks with Adaptive Momentum Inspired by the Quadratic OptimizationCode1
Alleviating Noisy-label Effects in Image Classification via Probability Transition Matrix0
Online Continual Learning Via Candidates Voting0
Contrastive Learning of Visual-Semantic Embeddings0
Network Augmentation for Tiny Deep Learning0
Neural Network Pruning Through Constrained Reinforcement Learning0
TESDA: Transform Enabled Statistical Detection of Attacks in Deep Neural NetworksCode0
Pro-KD: Progressive Distillation by Following the Footsteps of the Teacher0
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification0
Adversarial Attacks on ML Defense Models CompetitionCode1
Trade-offs of Local SGD at Scale: An Empirical Study0
Automated Quality Control of Vacuum Insulated Glazing by Convolutional Neural Network Image Classification0
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel SizesCode1
Reliable Deep Learning Plant Leaf Disease Classification Based on Light-Chroma Separated BranchesCode1
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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