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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 7051–7075 of 10420 papers

TitleStatusHype
Recommending Accurate and Diverse Items Using Bilateral Branch Network—0
A Framework for Fast Scalable BNN Inference using Googlenet and Transfer Learning—0
A multi-modal approach towards mining social media data during natural disasters -- a case study of Hurricane Irma—0
Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models—0
Feedforward Legendre Memory Unit—0
AFINets: Attentive Feature Integration Networks for Image Classification—0
Sparsifying Networks via Subdifferential Inclusion—0
Uncertain Out-of-Domain Generalization—0
Uncertainty Calibration Error: A New Metric for Multi-Class Classification—0
Exploring Target Driven Image Classification—0
Robust early-learning: Hindering the memorization of noisy labels—0
Explicit Connection Distillation—0
Unsupervised Domain Adaptation via Minimized Joint Error—0
CNN Based Analysis of the Luria’s Alternating Series Test for Parkinson’s Disease Diagnostics—0
Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces—0
Reducing Implicit Bias in Latent Domain Learning—0
P-Swish: Activation Function with Learnable Parameters Based on Swish Activation Function in Deep Learning—0
Energy-constrained Self-training for Unsupervised Domain Adaptation—0
Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher—0
Towards Practical Second Order Optimization for Deep Learning—0
NOSE Augment: Fast and Effective Data Augmentation Without Searching—0
Certified robustness against physically-realizable patch attack via randomized cropping—0
Nonconvex Continual Learning with Episodic Memory—0
Neighbor Class Consistency on Unsupervised Domain Adaptation—0
Near-Optimal Glimpse Sequences for Training Hard Attention Neural Networks—0
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All datasetsImageNetCIFAR-10CIFAR-100STL-10ObjectNetMNISTSVHNiNaturalist 2018ImageNet ReaLFlowers-102Clothing1Mmini WebVision 1.0

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91—Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98—Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94—Unverified
4DaViT-GTop 1 Accuracy90.4—Unverified
5DaViT-HTop 1 Accuracy90.2—Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
7SwinV2-GTop 1 Accuracy90.17—Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1—Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05—Unverified
10RevCol-HTop 1 Accuracy90—Unverified