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 4751–4775 of 10420 papers

TitleStatusHype
Attention Enables Zero Approximation Error—0
Self-Training: A Survey—0
Deep Learning Reproducibility and Explainable AI (XAI)—0
Mixed-Block Neural Architecture Search for Medical Image Segmentation—0
ChimeraMix: Image Classification on Small Datasets via Masked Feature MixingCode1
Retrieval Augmented Classification for Long-Tail Visual Recognition—0
Cut and Continuous Paste towards Real-time Deep Fall Detection—0
Efficient and Differentiable Conformal Prediction with General Function ClassesCode0
A Self-Supervised Descriptor for Image Copy DetectionCode2
Rethinking the Zigzag Flattening for Image Reading—0
ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and BeyondCode2
Visual Attention NetworkCode4
Differentially Private Federated Learning via Inexact ADMM with Multiple Local Updates—0
Rethinking Pareto Frontier for Performance Evaluation of Deep Neural Networks—0
On the Implicit Bias Towards Minimal Depth of Deep Neural Networks—0
DataMUX: Data Multiplexing for Neural NetworksCode1
Out of Distribution Data Detection Using Dropout Bayesian Neural Networks—0
EBHI:A New Enteroscope Biopsy Histopathological H&E Image Dataset for Image Classification Evaluation—0
Dynamic Object Comprehension: A Framework For Evaluating Artificial Visual Perception—0
MLP-ASR: Sequence-length agnostic all-MLP architectures for speech recognition—0
Two-stage architectural fine-tuning with neural architecture search using early-stopping in image classification—0
Generalizable Information Theoretic Causal Representation—0
Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars—0
Meta Knowledge Distillation—0
Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision—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
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