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 9776–9800 of 10420 papers

TitleStatusHype
Confident Multiple Choice LearningCode0
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters—0
Critical Hyper-Parameters: No Random, No Cry—0
MirBot: A collaborative object recognition system for smartphones using convolutional neural networks—0
Recurrent computations for visual pattern completionCode0
Deep Learning: Generalization Requires Deep Compositional Feature Space Design—0
Deep Convolutional Decision Jungle for Image Classification—0
Discriminative k-shot learning using probabilistic models—0
DiracNets: Training Very Deep Neural Networks Without Skip-ConnectionsCode0
Controllable Invariance through Adversarial Feature Learning—0
Biased Importance Sampling for Deep Neural Network TrainingCode0
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource DataCode0
Robust Tracking Using Region Proposal Networks—0
Deep Learning is Robust to Massive Label Noise—0
Contextual Explanation NetworksCode0
Ensemble of Part Detectors for Simultaneous Classification and Localization—0
Dilated Residual NetworksCode0
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels—0
Classification of Quantitative Light-Induced Fluorescence Images Using Convolutional Neural Network—0
Attention-based Natural Language Person Retrieval—0
Robust Data Geometric Structure Aligned Close yet Discriminative Domain Adaptation—0
Continual Learning with Deep Generative ReplayCode0
Self-supervised learning of visual features through embedding images into text topic spaces—0
Patchnet: Interpretable Neural Networks for Image Classification—0
An Out-of-the-box Full-network Embedding for Convolutional Neural Networks—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