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

Showing 97269750 of 10420 papers

TitleStatusHype
Place recognition: An Overview of Vision Perspective0
One Model To Learn Them All0
Face Clustering: Representation and Pairwise Constraints0
Effective Sequential Classifier Training for SVM-based Multitemporal Remote Sensing Image Classification0
Hierarchical Gaussian Descriptors with Application to Person Re-Identification0
Shape-Color Differential Moment Invariants under Affine Transformations0
Confident Multiple Choice LearningCode0
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters0
Critical Hyper-Parameters: No Random, No Cry0
MirBot: A collaborative object recognition system for smartphones using convolutional neural networks0
Recurrent computations for visual pattern completionCode0
Deep Learning: Generalization Requires Deep Compositional Feature Space Design0
Deep Convolutional Decision Jungle for Image Classification0
Discriminative k-shot learning using probabilistic models0
DiracNets: Training Very Deep Neural Networks Without Skip-ConnectionsCode0
Biased Importance Sampling for Deep Neural Network TrainingCode0
Controllable Invariance through Adversarial Feature Learning0
Robust Tracking Using Region Proposal Networks0
RSI-CB: A Large Scale Remote Sensing Image Classification Benchmark via Crowdsource DataCode0
Deep Learning is Robust to Massive Label Noise0
Ensemble of Part Detectors for Simultaneous Classification and Localization0
Contextual Explanation NetworksCode0
Dilated Residual NetworksCode0
Deep Metric Learning and Image Classification with Nearest Neighbour Gaussian Kernels0
Deep Complex NetworksCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CoCa (finetuned)Top 1 Accuracy91Unverified
2Model soups (BASIC-L)Top 1 Accuracy90.98Unverified
3Model soups (ViT-G/14)Top 1 Accuracy90.94Unverified
4DaViT-GTop 1 Accuracy90.4Unverified
5DaViT-HTop 1 Accuracy90.2Unverified
6Meta Pseudo Labels (EfficientNet-L2)Top 1 Accuracy90.2Unverified
7SwinV2-GTop 1 Accuracy90.17Unverified
8MAWS (ViT-6.5B)Top 1 Accuracy90.1Unverified
9Florence-CoSwin-HTop 1 Accuracy90.05Unverified
10RevCol-HTop 1 Accuracy90Unverified