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 3751–3775 of 10420 papers

TitleStatusHype
On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained EncoderCode0
Inverse-Free Fast Natural Gradient Descent Method for Deep Learning—0
Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN—0
SOFIM: Stochastic Optimization Using Regularized Fisher Information Matrix—0
SGD with Partial Hessian for Deep Neural Networks OptimizationCode0
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGradCode0
G-EvoNAS: Evolutionary Neural Architecture Search Based on Network Growth—0
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use—0
DyCE: Dynamically Configurable Exiting for Deep Learning Compression and Real-time ScalingCode0
NiNformer: A Network in Network Transformer with Token Mixing Generated Gating FunctionCode0
MCA: Moment Channel Attention NetworksCode0
When do Convolutional Neural Networks Stop Learning?Code0
Transformers for Supervised Online Continual Learning—0
ELA: Efficient Local Attention for Deep Convolutional Neural Networks—0
Can a Confident Prior Replace a Cold Posterior?Code0
Beyond Inference: Performance Analysis of DNN Server Overheads for Computer Vision—0
Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation—0
Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation ModelCode0
Stitching Gaps: Fusing Situated Perceptual Knowledge with Vision Transformers for High-Level Image Classification—0
HyenaPixel: Global Image Context with ConvolutionsCode0
Decompose-and-Compose: A Compositional Approach to Mitigating Spurious CorrelationCode0
Assessing Visually-Continuous Corruption Robustness of Neural Networks Relative to Human Performance—0
Classes Are Not Equal: An Empirical Study on Image Recognition Fairness—0
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains—0
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric EstimationCode0
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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
5Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2—Unverified
6DaViT-HTop 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