TransDSSL: Transformer based Depth Estimation via Self-Supervised Learning
Open paper
Benchmark
Model
Rank
Results
monocular-depth-estimation-on-ddad
TransDSSL
#4
RMSE: 14.350
RMSE log: 0.172
Sq Rel: 3.591
…
monocular-depth-estimation-on-kitti-eigen-1
TransDSSL
#11
absolute relative error: 0.095
RMSE: 4.321
RMSE log: 0.172
…
Rank counts only results with a code link.