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 4876–4900 of 10420 papers

TitleStatusHype
HyperTune: Dynamic Hyperparameter Tuning For Efficient Distribution of DNN Training Over Heterogeneous Systems—0
Data Augmentation Vision Transformer for Fine-grained Image Classification—0
A Unified Approximation Framework for Compressing and Accelerating Deep Neural Networks—0
HSI-BERT: Hyperspectral Image Classification Using the Bidirectional Encoder Representation From Transformers—0
Augmentation Techniques Analysis with Removal of Class Imbalance Using PyTorch for Intel Scene Dataset—0
Initializing Perturbations in Multiple Directions for Fast Adversarial Training—0
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning—0
I2DFormer: Learning Image to Document Attention for Zero-Shot Image Classification—0
I2MVFormer: Large Language Model Generated Multi-View Document Supervision for Zero-Shot Image Classification—0
In-Memory Nearest Neighbor Search with FeFET Multi-Bit Content-Addressable Memories—0
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification—0
Inspect Transfer Learning Architecture with Dilated Convolution—0
A Unified Framework to Enforce, Discover, and Promote Symmetry in Machine Learning—0
HQViT: Hybrid Quantum Vision Transformer for Image Classification—0
I can't see it but I can Fine-tune it: On Encrypted Fine-tuning of Transformers using Fully Homomorphic Encryption—0
Cut and Continuous Paste towards Real-time Deep Fall Detection—0
Data Consistency for Weakly Supervised Learning—0
ALA: Naturalness-aware Adversarial Lightness Attack—0
ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning—0
How Transferable Are Self-supervised Features in Medical Image Classification Tasks?—0
How Training Data Affect the Accuracy and Robustness of Neural Networks for Image Classification—0
Augmentation Policy Generation for Image Classification Using Large Language Models—0
I-CNet: Leveraging Involution and Convolution for Image Classification—0
Informed Non-convex Robust Principal Component Analysis with Features—0
In-Hindsight Quantization Range Estimation for Quantized Training—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