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 9001–9050 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
Piecewise Strong Convexity of Neural Networks—0
Recurrent Attention Unit—0
DropBlock: A regularization method for convolutional networksCode0
Learning to Teach with Dynamic Loss Functions—0
Learning and Interpreting Multi-Multi-Instance Learning Networks—0
Whetstone: A Method for Training Deep Artificial Neural Networks for Binary Communication—0
K for the Price of 1: Parameter-efficient Multi-task and Transfer Learning—0
Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary CellsCode1
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features—0
Sleep-like slow oscillations improve visual classification through synaptic homeostasis and memory association in a thalamo-cortical model—0
On the Confidence of Neural Network Predictions for some NLP Tasks—0
Deep multi-survey classification of variable stars—0
Automated identification of hookahs (waterpipes) on Instagram: an application in feature extraction using Convolutional Neural Network and Support Vector Machine classification—0
Hierarchical ResNeXt Models for Breast Cancer Histology Image Classification—0
To Compress, or Not to Compress: Characterizing Deep Learning Model Compression for Embedded Inference—0
KTAN: Knowledge Transfer Adversarial Network—0
Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers—0
Hyper-Process Model: A Zero-Shot Learning algorithm for Regression Problems based on Shape AnalysisCode0
Approximate Fisher Information Matrix to Characterise the Training of Deep Neural NetworksCode0
Shallow-Deep Networks: Understanding and Mitigating Network OverthinkingCode1
Compressively Sensed Image Recognition—0
Super Characters: A Conversion from Sentiment Classification to Image Classification—0
Uncertainty in Neural Networks: Approximately Bayesian EnsemblingCode0
Effects of Image Degradations to CNN-based Image Classification—0
Does Haze Removal Help CNN-based 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
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