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20142026
most citedSalient Object Detection: A Benchmark

1.4k citations · 4.4k across the 74 of their papers we have counts for

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Showing 2022Show all

10 papers · 1 filter

cs.CV2022

Logits are predictive of network type

Ali Borji

We show that it is possible to predict which deep network has generated a given logit vector with accuracy well above chance. We utilize a number of networks on a dataset, initiali…

cs.CV2022★ 102 cited

Generated Faces in the Wild: Quantitative Comparison of Stable Diffusion, Midjourney and DALL-E 2

Ali Borji

The field of image synthesis has made great strides in the last couple of years. Recent models are capable of generating images with astonishing quality. Fine-grained evaluation of…

cs.CV2022★ 2 cited

How good are deep models in understanding the generated images?

Ali Borji

My goal in this paper is twofold: to study how well deep models can understand the images generated by DALL-E 2 and Midjourney, and to quantitatively evaluate these generative mode…

cs.CV2022★ 1 cited

A New Kind of Adversarial Example

Ali Borji

Almost all adversarial attacks are formulated to add an imperceptible perturbation to an image in order to fool a model. Here, we consider the opposite which is adversarial example…

cs.CV2022

Is current research on adversarial robustness addressing the right problem?

Ali Borji

Short answer: Yes, Long answer: No! Indeed, research on adversarial robustness has led to invaluable insights helping us understand and explore different aspects of the problem. Ma…

cs.CV2022★ 1 cited

SplitMixer: Fat Trimmed From MLP-like Models

Ali Borji, Sikun Lin

We present SplitMixer, a simple and lightweight isotropic MLP-like architecture, for visual recognition. It contains two types of interleaving convolutional operations to mix infor…

cs.CV2022★ 5 cited

Complementary datasets to COCO for object detection

Ali Borji

For nearly a decade, the COCO dataset has been the central test bed of research in object detection. According to the recent benchmarks, however, it seems that performance on this…

cs.CV2022

Sensitivity of Average Precision to Bounding Box Perturbations

Ali Borji

Object detection is a fundamental vision task. It has been highly researched in academia and has been widely adopted in industry. Average Precision (AP) is the standard score for e…

cs.CV2022★ 2 cited

CNNs and Transformers Perceive Hybrid Images Similar to Humans

Ali Borji

Hybrid images is a technique to generate images with two interpretations that change as a function of viewing distance. It has been utilized to study multiscale processing of image…

cs.LG2022★ 3 cited

Overparametrization improves robustness against adversarial attacks: A replication study

Ali Borji

Overparametrization has become a de facto standard in machine learning. Despite numerous efforts, our understanding of how and where overparametrization helps model accuracy and ro…