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 5626–5650 of 10420 papers

TitleStatusHype
A Distributed Deep Representation Learning Model for Big Image Data Classification—0
A Comparative Study of CNN, BoVW and LBP for Classification of Histopathological Images—0
Doubly Sparse: Sparse Mixture of Sparse Experts for Efficient Softmax Inference—0
C2AE: Class Conditioned Auto-Encoder for Open-set Recognition—0
Doubly Convolutional Neural Networks—0
Double Transfer Learning for Breast Cancer Histopathologic Image Classification—0
Double-Stage Feature-Level Clustering-Based Mixture of Experts Framework—0
Do the Frankenstein, or how to achieve better out-of-distribution performance with manifold mixing model soup—0
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning—0
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering—0
Dopamine Transporter SPECT Image Classification for Neurodegenerative Parkinsonism via Diffusion Maps and Machine Learning Classifiers—0
Don't Watch Me: A Spatio-Temporal Trojan Attack on Deep-Reinforcement-Learning-Augment Autonomous Driving—0
Bytes Are All You Need: Transformers Operating Directly On File Bytes—0
Don’t Wait, Just Weight: Improving Unsupervised Representations by Learning Goal-Driven Instance Weights—0
BUZz: BUffer Zones for defending adversarial examples in image classification—0
A New Perspective to Boost Vision Transformer for Medical Image Classification—0
Do More Dropouts in Pool5 Feature Maps for Better Object Detection—0
Bundle Optimization for Multi-aspect Embedding—0
Domain Wall Magnetic Tunnel Junction Reliable Integrate and Fire Neuron—0
Domain transfer through deep activation matching—0
Building Vision Transformers with Hierarchy Aware Feature Aggregation—0
A New Ensemble Method for Concessively Targeted Multi-model Attack—0
Domain-Invariant Disentangled Network for Generalizable Object Detection—0
Buildings Detection in VHR SAR Images Using Fully Convolution Neural Networks—0
A New Distance Measure for Non-Identical Data with Application to Image Classification—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