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 9001–9025 of 10420 papers

TitleStatusHype
Distortion Robust Image Classification using Deep Convolutional Neural Network with Discrete Cosine Transform—0
A Smart System for Selection of Optimal Product Images in E-Commerce—0
Focusing on the Big Picture: Insights into a Systems Approach to Deep Learning for Satellite Imagery—0
Adversarial Learning of Label Dependency: A Novel Framework for Multi-class Classification—0
Fashion and Apparel Classification using Convolutional Neural Networks—0
ReSet: Learning Recurrent Dynamic Routing in ResNet-like Neural Networks—0
Deep Ensemble Bayesian Active Learning : Addressing the Mode Collapse issue in Monte Carlo dropout via Ensembles—0
Prototypical Clustering Networks for Dermatological Disease Diagnosis—0
FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks—0
DSNet: Deep and Shallow Feature Learning for Efficient Visual Tracking—0
Hide-and-Seek: A Data Augmentation Technique for Weakly-Supervised Localization and BeyondCode0
SparseFool: a few pixels make a big differenceCode0
Semantic bottleneck for computer vision tasks—0
A Biologically Plausible Learning Rule for Deep Learning in the BrainCode0
FUNN: Flexible Unsupervised Neural Network—0
Learning from Large-scale Noisy Web Data with Ubiquitous Reweighting for Image Classification—0
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scaleCode0
Explaining non-linear Classifier Decisions within Kernel-based Deep Architectures—0
Introspection for convolutional automatic speech recognition—0
Unauthorized AI cannot Recognize Me: Reversible Adversarial Example—0
Filter Pruning via Geometric Median for Deep Convolutional Neural Networks AccelerationCode1
Methods for Segmentation and Classification of Digital Microscopy Tissue Images—0
Structure Learning of Deep Neural Networks with Q-Learning—0
Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image ClassificationCode0
Weak-supervision for Deep Representation Learning under Class Imbalance—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
10Meta Pseudo Labels (EfficientNet-B6-Wide)Top 1 Accuracy90—Unverified