The KITTI Vision Benchmark Suite

Method

TTT-IGEV2 [TTT-IGEV2]

Submitted on 30 Jun. 2026 05:01 by
Song Zhao (Yunnan University)

Running time:		0.01 s
Environment:		1 core @ 2.5 Ghz (C/C++)

Method Description:

Important Policy Update: As more and more non-
published work and re-implementations of existing
work is submitted to KITTI, we have established a
new policy: from now on, only submissions with
significant novelty that are leading to a peer-
reviewed paper in a conference or journal are
allowed. Minor modifications of existing
algorithms or student research projects are not
allowed. Such work must be evaluated on a split of
the training set. To ensure that our policy is
adopted, new users must detail their status,
describe their work and specify the

Parameters:

Latex Bibtex:

Detailed Results

This page provides detailed results for the method(s) selected. For each of the first 20 test images, the number of erroneous pixels at all thresholds is depicted in the table. Underneath, the left input image, the disparity / end-point error map and the estimated (and interpolated) disparity / optical flow map are shown. The error map scales linearly between 0 (black) and >=5 (white) pixels error. Red denotes all occluded pixels, falling outside the image boundaries. The false color map is scaled to the largest ground truth disparity / flow value.

The KITTI Vision Benchmark Suite

A project of Karlsruhe Institute of Technologyand Toyota Technological Institute at Chicago

Method

Detailed Results

Test Set Average

Reflective Regions

Test Image 0

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A project of Karlsruhe Institute of Technology
and Toyota Technological Institute at Chicago