output
20032026
most citedSpatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations

178 citations

Showing cs.CVShow all

6 papers · 1 filter

cs.CV2025★ 22 cited

The MVTec AD 2 Dataset: Advanced Scenarios for Unsupervised Anomaly Detection

Lars Heckler-Kram, Jan-Hendrik Neudeck, Ulla Scheler +2

In recent years, performance on existing anomaly detection benchmarks like MVTec AD and VisA has started to saturate in terms of segmentation AU-PRO, with state-of-the-art models o…

cs.CV2024★ 4 cited

Direct May Not Be the Best: An Incremental Evolution View of Pose Generation

Yuelong Li, Tengfei Xiao, Lei Geng +1

Pose diversity is an inherent representative characteristic of 2D images. Due to the 3D to 2D projection mechanism, there is evident content discrepancy among distinct pose images.…

cs.CV2024★ 13 cited

Digital Video Manipulation Detection Technique Based on Compression Algorithms

Edgar Gonzalez Fernandez, Ana Lucila Sandoval Orozco, Luis Javier Garcia Villalba

Digital images and videos play a very important role in everyday life. Nowadays, people have access the affordable mobile devices equipped with advanced integrated cameras and powe…

cs.CV2024★ 3 cited

CIC: A Framework for Culturally-Aware Image Captioning

Youngsik Yun, Jihie Kim

Image Captioning generates descriptive sentences from images using Vision-Language Pre-trained models (VLPs) such as BLIP, which has improved greatly. However, current methods lack…

cs.CV2018★ 1 cited

Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation

Patrick Follmann, Rebecca König, Philipp Härtinger +1

Semantic amodal segmentation is a recently proposed extension to instance-aware segmentation that includes the prediction of the invisible region of each object instance. We presen…

cs.CV2014

A multilevel thresholding algorithm using Electromagnetism Optimization

Diego Oliva, Erik Cuevas, Gonzalo Pajares +2

Segmentation is one of the most important tasks in image processing. It consist in classify the pixels into two or more groups depending on their intensity levels and a threshold v…