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 5001–5025 of 10420 papers

TitleStatusHype
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study—0
ImageNet MPEG-7 Visual Descriptors - Technical Report—0
How good is my GAN?—0
CUNet: A Compact Unsupervised Network for Image Classification—0
Is forgetting less a good inductive bias for forward transfer?—0
Image quality assessment for machine learning tasks using meta-reinforcement learning—0
AdaNCA: Neural Cellular Automata As Adaptors For More Robust Vision Transformer—0
Image Recognition using Region Creep—0
Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?—0
Is the aspect ratio of cells important in deep learning? A robust comparison of deep learning methods for multi-scale cytopathology cell image classification: from convolutional neural networks to visual transformers—0
A Tutorial on Explainable Image Classification for Dementia Stages Using Convolutional Neural Network and Gradient-weighted Class Activation Mapping—0
Image Retrieval with Fisher Vectors of Binary Features—0
Image Segmentation Using Overlapping Group Sparsity—0
How do Hyenas deal with Human Speech? Speech Recognition and Translation with ConfHyena—0
Deep learning for image segmentation: veritable or overhyped?—0
How does self-supervised pretraining improve robustness against noisy labels across various medical image classification datasets?—0
I See Dead People: Gray-Box Adversarial Attack on Image-To-Text Models—0
IM: An R-Package for Computation of Image Moments and Moment Invariants—0
Imbalanced Classification in Medical Imaging via Regrouping—0
Is it all a cluster game? -- Exploring Out-of-Distribution Detection based on Clustering in the Embedding Space—0
Imbalanced Malware Images Classification: a CNN based Approach—0
StackMix: A complementary Mix algorithm—0
Is More Data All You Need? A Causal Exploration—0
How does promoting the minority fraction affect generalization? A theoretical study of the one-hidden-layer neural network on group imbalance—0
How Does Diverse Interpretability of Textual Prompts Impact Medical Vision-Language Zero-Shot Tasks?—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